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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. 7-RES-JB
    11. 8836
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    Explanations

    names of characters

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    į
    -0.84
    ãĤµ
    -0.76
    sembly
    -0.75
    mble
    -0.73
    olphins
    -0.72
    ournal
    -0.71
    rals
    -0.68
    uminati
    -0.68
    Ħ¢
    -0.68
    lihood
    -0.68
    POSITIVE LOGITS
    's
    0.95
     himself
    0.92
     herself
    0.84
     contemplated
    0.73
     knew
    0.73
     realizes
    0.71
     sensed
    0.70
     enjoys
    0.70
     knows
    0.70
     realized
    0.70
    Activations Density 0.228%

    No Known Activations