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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. 9-RES-JB
    11. 4977
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    Explanations

    color-related terms, especially focusing on white, black, red, silver, and grey

    oai_token-act-pair · gpt-3.5-turbo

    color-related terms, particularly those associated with warnings or negative connotations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     recre
    -0.72
    AMI
    -0.69
     Mystic
    -0.65
    kson
    -0.63
     lovers
    -0.63
     Fey
    -0.60
     Fantasy
    -0.60
     Incarnation
    -0.59
    agine
    -0.59
     Incarn
    -0.59
    POSITIVE LOGITS
    äºĶ
    0.73
    wallet
    0.72
    Wallet
    0.69
     list
    0.65
     checklist
    0.65
    agging
    0.65
    lighting
    0.65
    cash
    0.65
    itial
    0.64
    tight
    0.64
    Activations Density 0.331%

    No Known Activations