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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. 4-RES-JB
    11. 2510
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    Explanations

    references to various types of mythical or fictional creatures

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various kinds of creatures

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

    No Comments

    Negative Logits
    outer
    -0.82
    olitan
    -0.70
    acher
    -0.65
    ritz
    -0.64
    ahon
    -0.63
    ierra
    -0.62
    monds
    -0.62
    onder
    -0.61
    ining
    -0.61
    Tx
    -0.61
    POSITIVE LOGITS
     creatures
    1.00
    arium
    0.95
     creature
    0.92
     Creatures
    0.88
     Creature
    0.85
     beings
    0.84
    folk
    0.77
    falls
    0.74
     vanquished
    0.74
    lihood
    0.73
    Activations Density 0.021%

    No Known Activations