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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. 7-RES-JB
    11. 13656
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    Explanations

    repetitive phrases or events that occur frequently

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate repetition or recurrence over time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tein
    -0.90
    udeb
    -0.69
    dor
    -0.68
    ropolitan
    -0.66
    docs
    -0.66
    iov
    -0.65
    hent
    -0.65
    WS
    -0.63
    wordpress
    -0.63
    IST
    -0.62
    POSITIVE LOGITS
     throughout
    0.88
    ciating
    0.76
    entimes
    0.75
     occurrence
    0.74
     alike
    0.73
     occasions
    0.72
     imaginable
    0.71
     whenever
    0.68
     occurrences
    0.68
     constitu
    0.66
    Activations Density 0.082%

    No Known Activations