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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. 11-RES-JB
    11. 5581
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    Explanations

    notations or reminders within a text

    oai_token-act-pair · gpt-3.5-turbo

    instances of notes or annotations in text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    icum
    -0.63
     embr
    -0.57
    riter
    -0.57
    aced
    -0.56
    inventoryQuantity
    -0.56
    elta
    -0.54
     bailed
    -0.54
    asting
    -0.53
    arious
    -0.53
    arte
    -0.53
    POSITIVE LOGITS
    books
    1.21
    book
    1.12
    :
    0.99
    BOOK
    0.97
    ably
    0.95
    !:
    0.85
    :,
    0.83
     :
    0.83
     that
    0.81
    :-
    0.80
    Activations Density 0.022%

    No Known Activations