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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. 3-RES-JB
    11. 12252
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    Explanations

    references to the "Ve(z)ina Trophy," possibly related to sports

    oai_token-act-pair · gpt-3.5-turbo

    references to the "Vezina Trophy" or related accolades in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    matically
    -1.01
    manship
    -0.87
    matic
    -0.86
    £ı
    -0.83
    creen
    -0.83
    eering
    -0.76
     teasp
    -0.76
    itatively
    -0.76
    dress
    -0.75
    hops
    -0.75
    POSITIVE LOGITS
     Ve
    1.10
    lez
    1.06
    ggie
    1.02
    Ve
    1.01
    uve
    0.95
    lette
    0.87
    ices
    0.87
    endor
    0.86
    Äį
    0.83
    zza
    0.83
    Activations Density 0.005%

    No Known Activations