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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. 14544
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    Explanations

    numbers and measurements

    oai_token-act-pair · gpt-3.5-turbo

    numerical data or statistics related to rankings and measurements

    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
    apego
    -0.58
    orsi
    -0.52
    Afee
    -0.51
    inyl
    -0.50
     Yorkers
    -0.49
    ographers
    -0.49
    ifact
    -0.48
    oths
    -0.47
    rogens
    -0.47
    ient
    -0.47
    POSITIVE LOGITS
     guise
    0.96
     vicinity
    0.92
     manner
    0.84
     increments
    0.82
     context
    0.82
     circles
    0.80
     mode
    0.78
     contexts
    0.77
     vein
    0.77
     midst
    0.73
    Activations Density 1.227%

    No Known Activations