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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 18341
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    Explanations

    proper nouns related to people and places

    oai_token-act-pair · gpt-3.5-turbo

    specific proper nouns and names related to people and entities in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •L9 resid features following 'and'

    No Comments

    Negative Logits
     and
    -0.66
     AND
    -0.63
     indo
    -0.62
     Learns
    -0.60
     whereas
    -0.59
    ".
    -0.58
     et
    -0.57
     rather
    -0.55
    !".
    -0.54
    ''.
    -0.54
    POSITIVE LOGITS
     alike
    1.11
     are
    0.82
    axter
    0.79
    oliath
    0.75
     aren
    0.73
     thereof
    0.71
     were
    0.70
     agree
    0.70
     cohorts
    0.68
    ossal
    0.65
    Activations Density 0.653%

    No Known Activations