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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. 4465
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    Explanations

    words related to lack of success or efficacy

    oai_token-act-pair · gpt-3.5-turbo

    terms indicating ineffectiveness or failure

    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
    soType
    -0.84
    orthy
    -0.83
    erning
    -0.79
    assador
    -0.72
    ocard
    -0.71
    eur
    -0.68
    Pacific
    -0.66
    andise
    -0.62
    alez
    -0.60
    orah
    -0.60
    POSITIVE LOGITS
    luster
    0.93
     waste
    0.76
    igue
    0.74
     necessarily
    0.73
    uably
    0.72
     wasting
    0.70
    rums
    0.69
    oubt
    0.69
     sus
    0.68
     wastes
    0.68
    Activations Density 0.073%

    No Known Activations