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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. 220
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    INDEX
    Explanations

    mentions of social commentary and criticism on current events

    oai_token-act-pair · gpt-3.5-turbo

    strong emotional expressions and reactions

    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
     Formula
    -0.66
     LEGO
    -0.58
     Lego
    -0.57
     Klaus
    -0.56
     Tut
    -0.56
     Windsor
    -0.54
     Pinball
    -0.54
     Aust
    -0.54
     Barbie
    -0.54
     Wales
    -0.53
    POSITIVE LOGITS
    deen
    0.84
    milo
    0.76
    .?
    0.72
    ĪĴ
    0.71
    cember
    0.70
    ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ
    0.69
    laughs
    0.68
    ļéĨĴ
    0.68
    btn
    0.68
    atown
    0.67
    Activations Density 1.813%

    No Known Activations