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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. 3-RES-JB
    11. 3157
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    Explanations

    mentions of specific substances such as e-cigarettes and kratom

    oai_token-act-pair · gpt-3.5-turbo

    terms related to electronic cigarettes and kratom

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Petty
    -0.66
    ãģĨ
    -0.64
    ãĥª
    -0.64
    Reviewer
    -0.63
    IFA
    -0.62
    istically
    -0.61
    ãĥĥãĥī
    -0.61
    âĿ
    -0.60
    dy
    -0.59
    ãĥĥãĥĪ
    -0.59
    POSITIVE LOGITS
    cigarette
    1.16
    cigarettes
    1.08
    arette
    0.90
    cig
    0.86
    ues
    0.83
    jriwal
    0.80
    otine
    0.75
     vaping
    0.74
    ionage
    0.73
     cigarettes
    0.73
    Activations Density 0.010%

    No Known Activations