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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. 14128
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    Explanations

    phrases related to evaluating something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the quality of performance or effectiveness

    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
    laus
    -0.74
    ategory
    -0.71
    mber
    -0.61
    hyde
    -0.61
    illary
    -0.60
     Rober
    -0.60
    EStreamFrame
    -0.59
    urous
    -0.59
    artifacts
    -0.58
    yahoo
    -0.57
    POSITIVE LOGITS
     behaved
    1.03
     suited
    0.88
     tuned
    0.82
    iberal
    0.73
    Initialized
    0.71
     liked
    0.71
    WIN
    0.71
    ector
    0.70
    lied
    0.69
     vers
    0.68
    Activations Density 0.049%

    No Known Activations