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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. 14405
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    Explanations

    numeric patterns related to economic data

    oai_token-act-pair · gpt-3.5-turbo

    references to time periods or durations, particularly in relation to "year over year" and "month over month" comparisons

    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
     Borders
    -0.76
     ESC
    -0.69
    burgh
    -0.67
     Compass
    -0.64
    HCR
    -0.63
     thumbs
    -0.62
    UTF
    -0.61
     Metall
    -0.60
    idas
    -0.58
    çĭ
    -0.58
    POSITIVE LOGITS
    long
    1.12
    based
    1.04
    sized
    1.03
    wise
    1.02
    end
    1.01
    time
    1.00
    to
    0.99
    gap
    0.97
    years
    0.93
    span
    0.93
    Activations Density 0.054%

    No Known Activations