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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. 4-RES-JB
    11. 16938
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    Explanations

    notes or mentions in a document

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Note" followed by additional numerical references

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

    No Comments

    Negative Logits
     verte
    -0.72
     neighb
    -0.67
    esc
    -0.67
    anch
    -0.63
    estern
    -0.62
    ravel
    -0.62
    enium
    -0.62
     simul
    -0.61
     jaws
    -0.61
    atom
    -0.60
    POSITIVE LOGITS
    books
    1.16
    book
    1.12
    BOOK
    1.07
    Pad
    0.91
     Notes
    0.80
     Note
    0.79
    ably
    0.78
     note
    0.76
    ants
    0.73
    pad
    0.72
    Activations Density 0.015%

    No Known Activations