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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. 9-RES-JB
    11. 23709
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    Explanations

    Twitter handles

    oai_token-act-pair · gpt-3.5-turbo

    mentions of social media platforms or handles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    hered
    -0.81
     disapp
    -0.75
    IFE
    -0.73
    ivated
    -0.73
    ogene
    -0.72
     Bauer
    -0.70
    AGES
    -0.69
    NetMessage
    -0.68
     Julie
    -0.68
    aign
    -0.67
    POSITIVE LOGITS
    t
    1.33
    T
    1.24
    TD
    1.18
    tz
    1.12
     Tet
    1.10
    ts
    1.10
    Ts
    1.09
    td
    1.09
    TC
    1.08
    tar
    1.08
    Activations Density 0.512%

    No Known Activations