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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. 532
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    INDEX
    Explanations

    numerical data and metrics mentioned in a structured format

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to statistics and metrics

    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
    soDeliveryDate
    -0.79
     disadvant
    -0.73
     analogy
    -0.67
     paycheck
    -0.67
     peril
    -0.66
    endum
    -0.65
     sealing
    -0.65
     warmer
    -0.65
    itability
    -0.64
    uve
    -0.62
    POSITIVE LOGITS
    63
    1.29
    89
    1.25
    83
    1.24
    84
    1.23
    97
    1.22
    46
    1.21
    74
    1.20
    91
    1.20
    87
    1.20
    79
    1.19
    Activations Density 0.116%

    No Known Activations