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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. 14978
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    Explanations

    mentions of unemployment rates

    oai_token-act-pair · gpt-3.5-turbo

    quantitative metrics associated with various societal rates, particularly unemployment and mortality statistics

    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
    wcsstore
    -0.89
    Series
    -0.80
    ciating
    -0.76
    soDeliveryDate
    -0.71
    é¾įåĸļ士
    -0.71
    Pic
    -0.70
    NAS
    -0.69
    ãĥīãĥ©
    -0.69
    ivas
    -0.68
    æ©
    -0.68
    POSITIVE LOGITS
     statistic
    0.77
     (%)
    0.73
     ratio
    0.67
     Gallup
    0.66
     (-
    0.66
     Gap
    0.66
     correlation
    0.65
    rics
    0.65
     (%
    0.64
     percentage
    0.62
    Activations Density 0.070%

    No Known Activations