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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. 18498
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    Explanations

    numerical values in a time format or related to statistics

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and possibly associated times or events

    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
    CLOSE
    -0.74
    catentry
    -0.68
    âĦ¢
    -0.63
     XD
    -0.62
    SPONSORED
    -0.60
    èª
    -0.60
     homophobia
    -0.59
     cocktails
    -0.58
    Plot
    -0.57
    ollah
    -0.57
    POSITIVE LOGITS
    runs
    0.75
    nil
    0.75
    itures
    0.70
    nder
    0.69
    İĭ
    0.66
     Deaths
    0.64
    ibaba
    0.63
    ographed
    0.63
    igrated
    0.62
     agric
    0.62
    Activations Density 0.069%

    No Known Activations