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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. 9-RES-JB
    11. 14320
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    Explanations

    single-digit numbers in parentheses

    oai_token-act-pair · gpt-3.5-turbo

    parentheses and their usage in text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ups
    -0.86
     Rising
    -0.70
     Ruff
    -0.70
     ast
    -0.69
     Ros
    -0.69
     Peg
    -0.66
     Tall
    -0.66
     Lucky
    -0.65
     PowerShell
    -0.64
     packing
    -0.63
    POSITIVE LOGITS
    iii
    1.40
    emphasis
    1.26
    ii
    1.25
    âĢ¦)
    1.23
    *)
    1.16
    ++)
    1.13
    II
    1.12
    iv
    1.11
    ...)
    1.09
    hide
    1.02
    Activations Density 0.067%

    No Known Activations