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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. 6-RES-JB
    11. 14999
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    Explanations

    keywords related to government and political actions, particularly legislative terms and political strategies

    oai_token-act-pair · gpt-3.5-turbo

    elements related to health policy and legislative actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yip
    -0.79
    igans
    -0.75
     pockets
    -0.71
    inki
    -0.70
    urat
    -0.68
     flares
    -0.65
    atown
    -0.63
     shoulders
    -0.63
     distressed
    -0.61
     creeps
    -0.60
    POSITIVE LOGITS
     unfocusedRange
    0.73
    once
    0.67
    Non
    0.67
    à¨
    0.66
    rocal
    0.66
    ourgeois
    0.66
    Cola
    0.64
    entity
    0.63
    Single
    0.62
    urable
    0.61
    Activations Density 0.409%

    No Known Activations