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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 12-RES-JB
    11. 4326
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    Explanations

    references to historical food rationing and culture, particularly regarding specific food items and societal attitudes toward the handling and consumption of those items

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to social issues and historical context related to food scarcity and societal norms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cosponsors
    -0.80
     sidx
    -0.77
    KS
    -0.76
    PsyNetMessage
    -0.76
    ocamp
    -0.76
     Adds
    -0.75
    ocard
    -0.73
     RELEASE
    -0.73
     Texture
    -0.72
    illon
    -0.72
    POSITIVE LOGITS
     taboo
    1.44
     commonplace
    1.43
     frowned
    1.38
     outlawed
    1.27
     ubiquitous
    1.26
     tolerated
    1.25
     fashionable
    1.24
     trendy
    1.18
     punishable
    1.16
     prevalent
    1.14
    Activations Density 0.493%

    No Known Activations