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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. 11-RES-JB
    11. 12455
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    INDEX
    Explanations

    locations or settings described with temporal details

    oai_token-act-pair · gpt-3.5-turbo

    recurring themes of recollection and significant days or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ´ãĥ³
    -0.80
     understatement
    -0.66
    ãĥĺ
    -0.65
     endif
    -0.65
    PDF
    -0.64
     redes
    -0.64
    alogy
    -0.64
    azeera
    -0.64
    RFC
    -0.62
    ondon
    -0.62
    POSITIVE LOGITS
     someone
    1.25
     somebody
    1.24
     when
    0.98
     one
    0.94
     overheard
    0.91
     suddenly
    0.90
    someone
    0.89
     during
    0.89
     Someone
    0.88
     whenever
    0.87
    Activations Density 0.362%

    No Known Activations