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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. 7908
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    Explanations

    proper names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    names of notable people or public figures

    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
    DCS
    -0.75
    sburgh
    -0.70
    Region
    -0.69
     Provincial
    -0.69
     Hurricanes
    -0.67
     IMAGES
    -0.67
    ruary
    -0.67
    incial
    -0.66
    iculty
    -0.64
     Ruins
    -0.64
    POSITIVE LOGITS
    bey
    0.70
    zinski
    0.70
    eman
    0.69
    itton
    0.69
    enty
    0.68
    acan
    0.66
    stad
    0.66
    shadow
    0.66
    fill
    0.65
    ravis
    0.65
    Activations Density 0.142%

    No Known Activations