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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. 6-RES-JB
    11. 5568
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    Explanations

    words related to disturbance or disruption

    oai_token-act-pair · gpt-3.5-turbo

    the presence of empty content or lack of meaningful text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Reborn
    -0.80
     Shepherd
    -0.79
     Worlds
    -0.79
     Madness
    -0.77
     Companion
    -0.77
     Handbook
    -0.76
     Wol
    -0.76
     Warriors
    -0.75
     Enlightenment
    -0.75
     Leilan
    -0.73
    POSITIVE LOGITS
    secut
    1.10
    withstanding
    1.08
    tenance
    1.07
    acters
    1.07
    arently
    1.06
    abor
    1.05
    unte
    1.05
    reprene
    1.03
    yright
    1.03
    actly
    1.00
    Activations Density 0.252%

    No Known Activations