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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. 4387
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    Explanations

    combinations of items or elements

    oai_token-act-pair · gpt-3.5-turbo

    instances where different combinations or configurations are discussed

    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
    WARD
    -0.68
     Zurich
    -0.68
     Advocate
    -0.67
    runner
    -0.65
     Romero
    -0.65
     Presbyterian
    -0.64
     Gawker
    -0.64
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.61
    light
    -0.61
    Progress
    -0.60
    POSITIVE LOGITS
    etting
    1.02
    poons
    0.97
    etter
    0.87
     combinations
    0.84
    paces
    0.81
    uggest
    0.81
     thereof
    0.77
    omal
    0.77
    ettings
    0.76
    ensical
    0.72
    Activations Density 0.045%

    No Known Activations