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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. 8-RES-JB
    11. 17125
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    INDEX
    Explanations

    phrases indicating time or location

    oai_token-act-pair · gpt-3.5-turbo

    instances of dialogue or quotes attributed to individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amental
    -0.66
    edia
    -0.66
    cair
    -0.66
    Maker
    -0.64
    atic
    -0.63
    haven
    -0.61
    agate
    -0.61
    aters
    -0.60
    strom
    -0.58
     patterns
    -0.58
    POSITIVE LOGITS
    EStream
    0.84
     paraph
    0.82
     chuck
    0.76
     understatement
    0.76
     rhet
    0.73
    zek
    0.72
     chuckle
    0.71
     laughter
    0.70
     quoted
    0.70
    phe
    0.69
    Activations Density 0.150%

    No Known Activations