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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. 20042
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    Explanations

    verbs related to negative outcomes or shortcomings

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "failed" and its variations

    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
    erville
    -0.66
    iser
    -0.63
    dar
    -0.63
    atu
    -0.63
    iliary
    -0.60
    illon
    -0.60
    onen
    -0.59
    reen
    -0.58
     reserved
    -0.57
    izational
    -0.57
    POSITIVE LOGITS
     miser
    1.63
     horribly
    0.99
     dism
    0.96
     catast
    0.95
    ingly
    0.92
    lect
    0.91
    fully
    0.89
    afe
    0.88
     spectacular
    0.80
     muster
    0.79
    Activations Density 0.041%

    No Known Activations