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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. 21657
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    Explanations

    punctuation marks

    oai_token-act-pair · gpt-3.5-turbo

    commas in the text

    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
    SourceFile
    -0.78
    izon
    -0.74
    clave
    -0.70
    hess
    -0.68
    olves
    -0.66
    ORPG
    -0.66
    zing
    -0.64
    iken
    -0.63
    icc
    -0.63
    agate
    -0.61
    POSITIVE LOGITS
     secondly
    1.17
     moreover
    1.14
     alas
    1.11
     importantly
    1.03
     furthermore
    1.02
     consequently
    0.96
     cru
    0.92
     interestingly
    0.91
     frankly
    0.90
     unsurprisingly
    0.89
    Activations Density 0.082%

    No Known Activations