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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. 1-RES-JB
    11. 20522
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    INDEX
    Explanations

    phrases related to technical analysis or evaluation

    oai_token-act-pair · gpt-3.5-turbo

    references to specific analytical styles or methodologies

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    prise
    -0.90
    atro
    -0.78
    venants
    -0.77
    oice
    -0.72
    pay
    -0.72
    annis
    -0.71
    evidence
    -0.70
    nir
    -0.70
    aurus
    -0.69
    udeau
    -0.68
    POSITIVE LOGITS
     explan
    0.66
    cknow
    0.65
     SetTextColor
    0.62
     Kov
    0.59
     slate
    0.59
    FontSize
    0.59
     striped
    0.59
    EStreamFrame
    0.59
     Bland
    0.58
     pecul
    0.58
    Activations Density 0.000%

    No Known Activations