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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. 1-RES-JB
    11. 20446
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    INDEX
    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to political figures and significant events

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    perse
    -0.45
    NetMessage
    -0.44
    OPA
    -0.43
    laus
    -0.43
    venge
    -0.40
    rg
    -0.40
     Recon
    -0.39
    semble
    -0.39
    ramid
    -0.38
    haar
    -0.38
    POSITIVE LOGITS
    halla
    0.51
    querque
    0.46
    isphere
    0.42
     equivalents
    0.42
     detract
    0.41
     outweigh
    0.41
     lasts
    0.40
    igible
    0.40
    oided
    0.40
     rivals
    0.40
    Activations Density 2.958%

    No Known Activations