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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 7560
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    Explanations

    mentions of close relationships or connections between people or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to close relationships or connections

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ICAN
    -0.84
    AIN
    -0.69
    ULE
    -0.69
    mA
    -0.68
    NZ
    -0.68
    icist
    -0.67
    Ø©
    -0.66
    ican
    -0.66
    oeuv
    -0.65
    alian
    -0.64
    POSITIVE LOGITS
     minded
    0.96
     proximity
    0.90
     confinement
    0.86
    sighted
    0.79
     confid
    0.78
     relations
    0.77
     doors
    0.76
     shave
    0.76
     ties
    0.76
    minded
    0.73
    Activations Density 0.025%

    No Known Activations