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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. 24572
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    INDEX
    Explanations

    financial or numerical data in textual content

    oai_token-act-pair · gpt-3.5-turbo

    references to statistical factors and adjustments in data analysis

    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
    Ñı
    -0.93
    onica
    -0.74
    rouse
    -0.73
    ome
    -0.72
    lear
    -0.71
    mid
    -0.71
    lest
    -0.70
    lime
    -0.70
    mire
    -0.69
    CHAT
    -0.69
    POSITIVE LOGITS
     inflation
    1.32
     outl
    1.26
     subtract
    1.26
     covari
    1.24
     factors
    1.22
     depreciation
    1.17
     deductions
    1.15
     variables
    1.11
     rounding
    1.11
     adjustments
    1.10
    Activations Density 0.362%

    No Known Activations