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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 1-RES-JB
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    Explanations

    mentions of different types of smoking products

    oai_token-act-pair · gpt-3.5-turbo

    mentions of e-cigarettes and related substances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IFA
    -0.73
    Ķ
    -0.64
     Hume
    -0.63
    ãĥĨ
    -0.62
     Agents
    -0.60
     Paramount
    -0.59
    ãģĨ
    -0.59
     Univ
    -0.58
     Pub
    -0.58
     Orth
    -0.57
    POSITIVE LOGITS
    cigarette
    1.33
    cigarettes
    1.27
    cig
    1.04
    jriwal
    1.00
    arette
    0.92
    loo
    0.91
     vaping
    0.90
    ues
    0.84
    ratom
    0.84
    aukee
    0.82
    Activations Density 0.007%

    No Known Activations