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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. 9-RES-JB
    11. 20757
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    Explanations

    financial and stock market information

    oai_token-act-pair · gpt-3.5-turbo

    key metrics related to market performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tones
    -0.71
     confidentiality
    -0.68
     spont
    -0.68
     Cannes
    -0.66
     innocuous
    -0.64
     impartial
    -0.63
     affirmation
    -0.63
    ifferent
    -0.61
    ME
    -0.61
    Pros
    -0.60
    POSITIVE LOGITS
     averaged
    1.19
     surpassed
    1.12
     racked
    1.11
     surpass
    1.07
     barely
    1.05
     tripled
    1.04
     topped
    1.04
     peaked
    0.96
     totaled
    0.96
     accounted
    0.96
    Activations Density 0.418%

    No Known Activations