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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. 20709
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    Explanations

    proper nouns related to people or places named "Shaun" or "Shim"

    oai_token-act-pair · gpt-3.5-turbo

    specific names of individuals, particularly those related to a sports context

    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
    rador
    -0.84
    insula
    -0.83
    etheus
    -0.80
    istrate
    -0.80
    clair
    -0.79
    termination
    -0.79
    ential
    -0.78
    onial
    -0.74
    olesc
    -0.74
    elaide
    -0.73
    POSITIVE LOGITS
     Tycoon
    1.01
     Isles
    0.86
     Shaun
    0.82
    SHARE
    0.78
     Bolt
    0.74
     Shake
    0.70
    zee
    0.68
    Berry
    0.68
    ILA
    0.67
    SourceFile
    0.67
    Activations Density 0.013%

    No Known Activations