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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. 6243
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    Explanations

    measurements related to distance or quantity

    oai_token-act-pair · gpt-3.5-turbo

    quantitative measures or counts related to distance, quantity, or frequency

    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
    rum
    -0.87
     CV
    -0.65
     Unc
    -0.62
     Ridley
    -0.61
     Arche
    -0.61
    rology
    -0.60
     Sovere
    -0.60
     Fol
    -0.60
     Phys
    -0.60
     Emblem
    -0.59
    POSITIVE LOGITS
     apiece
    1.56
    poons
    1.12
    undred
    0.89
    hops
    0.84
     consecut
    0.81
    licks
    0.78
    dozen
    0.76
    kat
    0.76
     Ago
    0.75
     increments
    0.75
    Activations Density 0.209%

    No Known Activations