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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    Explanations

    mentions of smoke

    oai_token-act-pair · gpt-3.5-turbo

    mentions of smoke

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

    No Comments

    Negative Logits
     Volt
    -0.76
    HCR
    -0.68
    emort
    -0.67
     mathematic
    -0.67
     reluct
    -0.61
    ois
    -0.61
     Vanguard
    -0.60
     dexter
    -0.60
    ":["
    -0.59
     propos
    -0.59
    POSITIVE LOGITS
     smoke
    1.07
     Smoke
    1.01
    lake
    0.90
     haze
    0.88
    crow
    0.85
    creen
    0.83
    walker
    0.83
     cigarettes
    0.82
     inhal
    0.82
    leigh
    0.80
    Activations Density 0.012%

    No Known Activations