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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. 1654
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    Explanations

    words related to being dressed, especially if it involves a negative connotation

    oai_token-act-pair · gpt-3.5-turbo

    references to various forms of emotional distress or oppression

    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
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    No Comments

    Negative Logits
     reaches
    -0.61
     acqu
    -0.61
     aur
    -0.60
     referrals
    -0.59
     Acad
    -0.59
     karma
    -0.57
     appeals
    -0.56
     merger
    -0.56
     bot
    -0.56
     Fres
    -0.55
    POSITIVE LOGITS
    ressed
    4.52
    ressing
    3.02
    resses
    2.80
    ress
    2.52
    ression
    2.48
    ressive
    2.17
    ressor
    2.04
    acted
    1.35
    raped
    1.30
    resso
    1.23
    Activations Density 0.013%

    No Known Activations