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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
    11. 4776
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    multiple mentions of the pronoun "he" in the context of various subjects or actions

    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
     departures
    -0.63
    =#
    -0.62
    ombat
    -0.60
     Coverage
    -0.58
     predictions
    -0.58
     roundup
    -0.58
    alyses
    -0.58
    uggest
    -0.55
     0004
    -0.55
    apest
    -0.55
    POSITIVE LOGITS
     unlike
    0.97
     alas
    0.92
     along
    0.85
     like
    0.83
    along
    0.82
     uh
    0.81
     namely
    0.77
     albeit
    0.75
     unfortunately
    0.75
     despite
    0.74
    Activations Density 0.167%

    No Known Activations