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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. 2711
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    Explanations

    polygons or shapes and technical terms used in science

    oai_token-act-pair · gpt-3.5-turbo

    nouns and concepts related to studies, nature, issues, and categories

    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
    OV
    -0.66
    cipled
    -0.64
    ECH
    -0.61
    REL
    -0.60
    549
    -0.59
    rie
    -0.59
    special
    -0.59
    rip
    -0.58
    DEP
    -0.58
    alin
    -0.58
    POSITIVE LOGITS
    etter
    1.28
    etting
    1.16
    mith
    1.10
    ettings
    0.96
    hips
    0.91
    heet
    0.90
    hirt
    0.89
    cape
    0.88
    hip
    0.85
    poons
    0.82
    Activations Density 0.553%

    No Known Activations