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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. 533
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    INDEX
    Explanations

    names with the word "Fi" in them

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific individual or character

    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
    eers
    -0.98
    manship
    -0.81
    stage
    -0.73
    xual
    -0.70
    tons
    -0.69
    */(
    -0.68
    eer
    -0.68
    tenance
    -0.66
     Dispatch
    -0.65
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.64
    POSITIVE LOGITS
    ennes
    1.13
    Fi
    1.06
    anca
    0.96
    andom
    0.95
    endish
    0.93
    ornia
    0.92
     Fi
    0.89
    oms
    0.89
    oti
    0.89
    endi
    0.86
    Activations Density 0.010%

    No Known Activations