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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. 8-RES-JB
    11. 905
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    Explanations

    numbers followed by text related to accomplishments or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    phrases and terms related to statistics and data reporting

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¨
    -0.61
    forcing
    -0.54
    whatever
    -0.53
     proverb
    -0.52
    spir
    -0.52
    ahime
    -0.51
    lance
    -0.50
    ĸļ
    -0.50
    anwhile
    -0.50
    cffffcc
    -0.50
    POSITIVE LOGITS
     apiece
    0.94
     individually
    0.72
     respectively
    0.68
     totaling
    0.66
     consecut
    0.63
     total
    0.62
     simultaneously
    0.59
    eligible
    0.57
    oe
    0.56
     viz
    0.56
    Activations Density 1.026%

    No Known Activations