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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. 15017
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    Explanations

    phrases that represent rephrasings or clarifications of previous statements

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a rephrasing or clarification of prior statements

    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
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    Negative Logits
    ousel
    -0.74
    adium
    -0.73
     Columb
    -0.67
     Colombia
    -0.66
     Colomb
    -0.63
     Clintons
    -0.62
     heaviest
    -0.61
    onel
    -0.61
    Sund
    -0.60
     Paragu
    -0.58
    POSITIVE LOGITS
    forth
    1.03
    terday
    0.81
    hots
    0.78
    mith
    0.72
    phony
    0.71
    tainment
    0.71
    agine
    0.69
    poons
    0.69
    atility
    0.68
    entimes
    0.67
    Activations Density 0.026%

    No Known Activations