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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. 21845
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    Explanations

    references to different types of consumables, focusing on fruits and vegetables

    oai_token-act-pair · gpt-3.5-turbo

    references to various food items, drugs, and their relation to health and society

    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
     motto
    -0.66
     VID
    -0.60
     wheelchair
    -0.57
    ties
    -0.57
     finalists
    -0.55
     insanity
    -0.55
     persona
    -0.55
     Tactics
    -0.53
     evaluations
    -0.53
    rius
    -0.52
    POSITIVE LOGITS
    creen
    1.13
    cale
    1.07
    ynthesis
    1.04
    peed
    1.04
    pace
    1.01
    chool
    0.97
    paces
    0.95
    ilver
    0.92
    hooting
    0.91
    cape
    0.90
    Activations Density 0.595%

    No Known Activations