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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. 9483
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to lists or examples

    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
     Lords
    -0.77
    inka
    -0.75
    wives
    -0.67
     Gos
    -0.63
     shadow
    -0.62
    Doctors
    -0.61
     Armenia
    -0.60
    WARN
    -0.59
     Advocate
    -0.59
    LOAD
    -0.59
    POSITIVE LOGITS
    eter
    1.18
    etc
    1.06
    .,
    1.03
    ignt
    0.98
    .?
    0.95
     etc
    0.92
    ãģĨ
    0.91
    eteria
    0.88
    .;
    0.84
    igham
    0.84
    Activations Density 0.015%

    No Known Activations