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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. 10-RES-JB
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    Explanations

    proper nouns related to companies, organizations, or technologies

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and specific terminology related to organizations and technological aspects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    "))
    -0.70
     doesnt
    -0.67
    ibliography
    -0.63
    )",
    -0.63
     ********************************
    -0.61
    must
    -0.59
     hath
    -0.58
     MUST
    -0.57
     didnt
    -0.57
    actionDate
    -0.57
    POSITIVE LOGITS
     ("
    0.90
     —
    0.85
    —
    0.79
    ®,
    0.76
    —"
    0.75
     ($
    0.75
    *,
    0.73
    !,
    0.73
     --
    0.70
     alongside
    0.68
    Activations Density 0.531%

    No Known Activations