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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. 22685
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    Explanations

    names of people, especially repeated names

    oai_token-act-pair · gpt-3.5-turbo

    terms related to specific locations or significant entities

    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
     Iv
    -1.02
     ANGEL
    -0.89
     Kik
    -0.88
     IG
    -0.86
     Atkinson
    -0.85
     Eggs
    -0.82
     Io
    -0.82
     Lump
    -0.78
     Angel
    -0.78
     eggs
    -0.78
    POSITIVE LOGITS
    re
    1.76
    RE
    1.44
    reb
    1.38
    rem
    1.32
    res
    1.30
    arre
    1.26
    rea
    1.21
    rey
    1.19
    rer
    1.19
    rete
    1.17
    Activations Density 0.196%

    No Known Activations