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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. 6-RES-JB
    11. 2685
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    Explanations

    names of individuals or characters

    oai_token-act-pair · gpt-3.5-turbo

    names or references to individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oppable
    -0.68
    ĸļ
    -0.67
    mble
    -0.67
    alion
    -0.66
    alogue
    -0.64
    ccording
    -0.62
     AAA
    -0.60
    ĺħ
    -0.60
     pse
    -0.59
     spare
    -0.59
    POSITIVE LOGITS
    stown
    0.79
    sey
    0.77
     County
    0.75
    gren
    0.73
    meier
    0.72
    ston
    0.72
     Creek
    0.71
    field
    0.69
    's
    0.69
    sburg
    0.68
    Activations Density 0.231%

    No Known Activations