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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. 8-RES-JB
    11. 12875
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    INDEX
    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    the name "Brendan" in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ball
    -0.82
     radiation
    -0.79
    LECT
    -0.76
     Radiation
    -0.73
    bound
    -0.70
    SPONSORED
    -0.69
    perm
    -0.66
    ãĥīãĥ©ãĤ´ãĥ³
    -0.65
     Parenthood
    -0.64
    VOL
    -0.64
    POSITIVE LOGITS
    ufact
    0.94
     Fraser
    0.91
     Das
    0.88
    heses
    0.84
    hetic
    0.82
     Shanahan
    0.81
    agall
    0.78
    izont
    0.77
    agraph
    0.76
    nered
    0.76
    Activations Density 0.035%

    No Known Activations