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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. 10-RES-JB
    11. 8410
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cade
    -0.79
    ESE
    -0.79
    ADRA
    -0.78
    icago
    -0.70
    ious
    -0.69
    ilet
    -0.66
    itatively
    -0.65
    icity
    -0.65
     CARE
    -0.64
    enne
    -0.63
    POSITIVE LOGITS
    opers
    0.64
     sisters
    0.63
    arching
    0.62
    romeda
    0.61
     Juliet
    0.61
    TPPStreamerBot
    0.61
     daughters
    0.58
    orest
    0.57
    bern
    0.56
     lesbians
    0.56
    Activations Density 0.197%

    No Known Activations