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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. 7-RES-JB
    11. 8908
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    Explanations

    words related to inappropriate or improper actions or behavior

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with inappropriate or improper behavior and content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utra
    -0.88
    sheets
    -0.87
    crime
    -0.85
    oleon
    -0.84
    soType
    -0.78
    area
    -0.76
    dain
    -0.76
    glas
    -0.76
    ann
    -0.76
    weekly
    -0.75
    POSITIVE LOGITS
     behavior
    0.82
     behaviour
    0.78
     wiring
    0.77
    ities
    0.76
     behaviors
    0.75
     adolesc
    0.73
     conversions
    0.68
     undermin
    0.67
     duplication
    0.67
     materials
    0.67
    Activations Density 0.092%

    No Known Activations