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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. 0-RES-JB
    11. 2267
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    Explanations

    terms related to research or written works

    oai_token-act-pair · gpt-3.5-turbo

    repeated references to research or findings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     liner
    -0.72
    apult
    -0.70
     Bowie
    -0.70
     whirlwind
    -0.70
     twists
    -0.67
     corners
    -0.67
     leading
    -0.65
     carries
    -0.65
     Triple
    -0.64
     Kou
    -0.64
    POSITIVE LOGITS
    Res
    3.73
    RES
    1.87
    res
    1.82
     Res
    1.70
     RES
    1.41
    resolution
    1.29
     Resolution
    1.28
    Resp
    1.22
    Reb
    1.22
    resident
    1.22
    Activations Density 0.015%

    No Known Activations