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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. 1387
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    Explanations

    terms related to technical or technological aspects

    oai_token-act-pair · gpt-3.5-turbo

    references to "TE" or "T Ech" in various contexts

    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

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    Negative Logits
    ãĥĥãĥĪ
    -0.90
    iewicz
    -0.85
    aunder
    -0.74
    ials
    -0.74
    ãĥ£
    -0.73
    mingham
    -0.73
    circ
    -0.72
    andise
    -0.72
    uit
    -0.72
    Reviewer
    -0.71
    POSITIVE LOGITS
    ACH
    0.95
    LE
    0.93
    VICE
    0.91
    TI
    0.90
    QU
    0.88
    chnology
    0.88
    VERS
    0.86
    TE
    0.85
    LECT
    0.85
    achable
    0.85
    Activations Density 0.012%

    No Known Activations