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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. 4-RES-JB
    11. 24242
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    Explanations

    adjectives indicating intensity or emphasis

    oai_token-act-pair · gpt-3.5-turbo

    intensifiers or adjectives that emphasize the quality of a noun

    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
    lees
    -0.92
    aneers
    -0.82
    ULTS
    -0.77
    rants
    -0.73
     Challenges
    -0.72
     Scenes
    -0.72
     belts
    -0.70
     Loans
    -0.69
     launchers
    -0.69
    ults
    -0.69
    POSITIVE LOGITS
     representative
    0.78
    orter
    0.75
    ritten
    0.73
     reflective
    0.72
     similar
    0.72
     primitive
    0.72
     sunny
    0.70
    technical
    0.68
    xious
    0.68
     characteristic
    0.68
    Activations Density 0.093%

    No Known Activations