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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. 9-RES-JB
    11. 10345
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    INDEX
    Explanations

    names, such as names of places, people, or products

    oai_token-act-pair · gpt-3.5-turbo

    common suffixes or endings of words

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mete
    -0.61
    accompan
    -0.60
     Paran
    -0.59
     Carib
    -0.58
     Investig
    -0.55
     Rats
    -0.55
     cannabin
    -0.55
     Tonight
    -0.54
     Nare
    -0.54
    Trend
    -0.53
    POSITIVE LOGITS
     Pradesh
    0.86
    orage
    0.83
    iencies
    0.83
    urnal
    0.79
    ilk
    0.77
    wered
    0.76
    sembly
    0.76
    phrine
    0.75
    hed
    0.74
    nikov
    0.72
    Activations Density 0.220%

    No Known Activations