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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. 4-RES-JB
    11. 4399
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    Explanations

    occupations related to specific items of clothing

    oai_token-act-pair · gpt-3.5-turbo

    words related to birds or avian themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    quit
    -0.74
    ptive
    -0.70
    Champ
    -0.68
    course
    -0.65
    BuyableInstoreAndOnline
    -0.65
     Pact
    -0.63
    icago
    -0.62
    æł
    -0.62
     Bravo
    -0.61
    ppo
    -0.60
    POSITIVE LOGITS
    ird
    1.05
    ressing
    0.92
    ress
    0.87
    ricks
    0.84
    odge
    0.83
    yl
    0.78
    orf
    0.77
    leigh
    0.77
    ness
    0.74
    yne
    0.74
    Activations Density 0.009%

    No Known Activations