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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. 22838
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    specific references to academic or research-related activities

    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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    Negative Logits
    zsche
    -0.80
    sov
    -0.77
    geist
    -0.75
    puter
    -0.72
    borgh
    -0.67
    DragonMagazine
    -0.66
    agine
    -0.65
    bilt
    -0.65
    sectional
    -0.64
    tons
    -0.64
    POSITIVE LOGITS
    ÃĥÃĤÃĥÃĤ
    0.60
    ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ
    0.60
    IAL
    0.60
    ÃĥÃĤ
    0.59
    ש
    0.56
    aditional
    0.55
    ActionCode
    0.54
    Runtime
    0.54
     intervened
    0.54
    full
    0.54
    Activations Density 0.255%

    No Known Activations