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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. 0-RES-JB
    11. 6592
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    Explanations

    phrases related to crusading or showing strong determination and enthusiasm towards a cause

    oai_token-act-pair · gpt-3.5-turbo

    terms related to campaigns or movements, particularly those with a strong ideological emphasis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itta
    -0.80
    APE
    -0.78
    iary
    -0.78
     Elm
    -0.75
     reversible
    -0.74
     Royale
    -0.73
    Course
    -0.72
     Sketch
    -0.72
    MSN
    -0.72
    iquid
    -0.72
    POSITIVE LOGITS
     crus
    3.19
     zeal
    2.67
     crusade
    2.27
     ferv
    2.08
     Zeal
    1.60
     evangel
    1.56
     ard
    1.54
     vigilant
    1.31
     ardent
    1.30
     vigilante
    1.30
    Activations Density 0.064%

    No Known Activations