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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. 20089
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    INDEX
    Explanations

    references to the concept of a 'batch'

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "batch."

    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
    ruption
    -0.72
    relations
    -0.71
    gling
    -0.70
     Episcopal
    -0.69
    PLIED
    -0.63
    ophers
    -0.62
     Commissioners
    -0.62
    respective
    -0.61
     Cathedral
    -0.60
    acts
    -0.60
    POSITIVE LOGITS
     batches
    1.11
     batch
    1.09
    mates
    0.97
    batch
    0.75
     sizes
    0.74
    olean
    0.74
    mate
    0.73
    Iterator
    0.73
    files
    0.69
    Dispatch
    0.68
    Activations Density 0.011%

    No Known Activations