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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. 3-RES-JB
    11. 12860
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    Explanations

    proper nouns, especially those related to historical figures and locations

    oai_token-act-pair · gpt-3.5-turbo

    names associated with significant historical or cultural figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lag
    -0.88
    tip
    -0.84
    essional
    -0.82
    ür
    -0.79
    itching
    -0.79
    ledge
    -0.76
    wana
    -0.75
    wer
    -0.73
    craft
    -0.71
    electric
    -0.71
    POSITIVE LOGITS
     Caesar
    1.33
    esar
    1.22
     Augustus
    1.21
     Claud
    1.01
     Chavez
    0.94
     Nero
    0.88
     Clown
    0.86
     Brut
    0.83
    olini
    0.81
     Salad
    0.80
    Activations Density 0.016%

    No Known Activations