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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. 11-RES-JB
    11. 13342
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    Explanations

    descriptions of various types of medals won by individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of medals and awards

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
    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_pre
    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
    Methods
    -0.78
     tunnels
    -0.75
    sites
    -0.73
     corridors
    -0.70
    icides
    -0.66
    forums
    -0.66
     mouths
    -0.64
    builders
    -0.64
     embodiments
    -0.62
    Frameworks
    -0.62
    POSITIVE LOGITS
     nomination
    1.27
     accol
    1.17
     medal
    1.14
     designation
    1.13
     nod
    1.12
     endorsement
    1.07
     badge
    1.06
     berth
    1.02
     rating
    1.00
     award
    0.99
    Activations Density 0.187%

    No Known Activations