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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. 4-RES-JB
    11. 6800
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    Explanations

    phrases indicating a requirement or necessity

    oai_token-act-pair · gpt-3.5-turbo

    statements indicating necessity or requirements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    twitch
    -0.66
     Pill
    -0.66
     Brewers
    -0.64
     Democr
    -0.63
    ight
    -0.62
     Dism
    -0.62
    soType
    -0.61
     Kund
    -0.61
     Babe
    -0.60
     gulf
    -0.60
    POSITIVE LOGITS
    lessly
    1.20
    xus
    0.78
    OME
    0.73
     Juda
    0.71
    ACH
    0.68
    ILY
    0.66
    EGA
    0.66
    ICLE
    0.65
    EC
    0.65
     assistance
    0.64
    Activations Density 0.050%

    No Known Activations