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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. 9-RES-JB
    11. 19785
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    Explanations

    phrases starting with a comma

    oai_token-act-pair · gpt-3.5-turbo

    instances of statistical or numerical data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dayName
    -0.81
    Shut
    -0.78
    iven
    -0.75
    nai
    -0.70
    rolet
    -0.68
    enz
    -0.68
    owed
    -0.68
    BRE
    -0.68
    shut
    -0.68
    BILL
    -0.66
    POSITIVE LOGITS
     namely
    0.94
     none
    0.89
     including
    0.83
     viz
    0.77
     unsurprisingly
    0.77
     only
    0.76
     ours
    0.76
     there
    0.74
     fewer
    0.74
     totaling
    0.73
    Activations Density 0.086%

    No Known Activations