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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. 14408
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    Explanations

    percentages and numbers related to statistical data

    oai_token-act-pair · gpt-3.5-turbo

    references to percentages and statistical data

    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
    ̶
    -0.73
    æ©
    -0.73
    GBT
    -0.68
    arus
    -0.67
    HCR
    -0.66
    NI
    -0.64
    IRT
    -0.63
    ordes
    -0.62
    engeance
    -0.60
     thous
    -0.59
    POSITIVE LOGITS
     chance
    0.89
     increase
    0.85
     difference
    0.84
     (%)
    0.83
    age
    0.82
     of
    0.80
     thereof
    0.79
     variance
    0.79
     Percentage
    0.78
     percentage
    0.77
    Activations Density 0.063%

    No Known Activations