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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. 23634
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    Explanations

    phrases or terms related to specific companies or organizations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and organizations

    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
    ments
    -1.08
    uably
    -0.95
    ously
    -0.94
    istically
    -0.92
    istics
    -0.85
    ania
    -0.82
    ancy
    -0.78
    naire
    -0.77
    chest
    -0.76
    mentation
    -0.75
    POSITIVE LOGITS
    ignt
    0.78
    hao
    0.76
    hops
    0.75
    meier
    0.74
     mathemat
    0.71
    alez
    0.71
    nesday
    0.66
    abee
    0.66
    kj
    0.65
    pher
    0.63
    Activations Density 0.062%

    No Known Activations