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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. 8-RES-JB
    11. 3380
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    Explanations

    words related to physical actions or movements

    oai_token-act-pair · gpt-3.5-turbo

    words related to crisis or emergencies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    iage
    -0.81
     Samar
    -0.65
     Pradesh
    -0.64
     Aur
    -0.63
    gnu
    -0.63
    acqu
    -0.63
     rave
    -0.58
     Sag
    -0.56
     Ish
    -0.55
     Mant
    -0.55
    POSITIVE LOGITS
    xus
    0.93
    ļéĨĴ
    0.78
    pled
    0.73
    ophon
    0.72
    å°Ĩ
    0.69
    neck
    0.69
    bart
    0.68
    clips
    0.67
    eworthy
    0.66
    rency
    0.66
    Activations Density 0.067%

    No Known Activations