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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. 4207
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    references/citations within a text

    oai_token-act-pair · gpt-3.5-turbo

    references or citations

    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
    daq
    -0.74
    amaru
    -0.70
    ESE
    -0.69
    uliffe
    -0.68
     whiff
    -0.66
    ctica
    -0.64
     heights
    -0.64
    mallow
    -0.62
    csv
    -0.61
     deed
    -0.61
    POSITIVE LOGITS
    eree
    1.29
    inement
    1.11
    riger
    1.10
    actor
    1.09
    ractive
    1.08
    erences
    1.07
    lections
    1.06
    lection
    1.05
    raction
    1.05
    inished
    1.03
    Activations Density 0.010%

    No Known Activations