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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. 13286
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    INDEX
    Explanations

    percentages or portions of a whole

    oai_token-act-pair · gpt-3.5-turbo

    references to statistical percentages

    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
     garg
    -0.80
    mone
    -0.74
     marrow
    -0.72
     orderly
    -0.72
     Rav
    -0.70
     splend
    -0.68
     prolifer
    -0.66
     merc
    -0.65
     bounty
    -0.65
     distribut
    -0.64
    POSITIVE LOGITS
    percent
    0.94
     respondents
    0.92
    %,
    0.88
     polled
    0.87
    IU
    0.83
     Gallup
    0.82
    eva
    0.82
     Percent
    0.80
     surveyed
    0.80
     percent
    0.79
    Activations Density 0.059%

    No Known Activations