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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. 7-RES-JB
    11. 4963
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    Explanations

    economic or financial terms related to forecasting or estimation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to financial projections and estimates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abus
    -0.73
    unal
    -0.70
    GU
    -0.70
    guard
    -0.67
    \/\/
    -0.67
    filled
    -0.67
    cele
    -0.66
    cv
    -0.65
    OF
    -0.63
    tes
    -0.63
    POSITIVE LOGITS
     reductions
    0.77
     revisions
    0.76
     inconsistencies
    0.71
     discrepancies
    0.70
     that
    0.70
     deficiencies
    0.69
     delays
    0.69
     quantities
    0.66
     numerous
    0.65
     declines
    0.64
    Activations Density 0.254%

    No Known Activations