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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. 3-RES-JB
    11. 6246
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    Explanations

    words related to notes, messages, or communication

    oai_token-act-pair · gpt-3.5-turbo

    references to "note" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utm
    -0.66
     volunte
    -0.63
    LOS
    -0.63
    namese
    -0.63
     Pratt
    -0.61
    DEF
    -0.60
    esc
    -0.60
    estern
    -0.60
    anooga
    -0.60
     satell
    -0.59
    POSITIVE LOGITS
    BOOK
    1.01
     note
    0.99
    books
    0.96
    book
    0.96
     Keeper
    0.85
    ably
    0.83
     Notes
    0.83
     notes
    0.82
     NOTE
    0.76
    notes
    0.75
    Activations Density 0.020%

    No Known Activations