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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. 6-RES-JB
    11. 17094
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    Explanations

    words related to evaluations or judgments

    oai_token-act-pair · gpt-3.5-turbo

    references to evaluations or assessments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vous
    -0.73
    feeding
    -0.73
    corn
    -0.72
    icz
    -0.70
    Else
    -0.69
    seed
    -0.68
    cop
    -0.67
    woods
    -0.67
    mpeg
    -0.66
    cat
    -0.65
    POSITIVE LOGITS
    oice
    0.87
    ments
    0.84
     appraisal
    0.83
     assessment
    0.82
     assessments
    0.79
    itatively
    0.79
     assessing
    0.78
    ointed
    0.76
    mble
    0.75
    essment
    0.75
    Activations Density 0.032%

    No Known Activations