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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. 7-RES-JB
    11. 9643
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    Explanations

    names of locations, probably related to sports events

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Franch
    -0.64
     SAN
    -0.63
     Levi
    -0.62
    ĸļ
    -0.61
     DV
    -0.59
     Millenn
    -0.56
     Exec
    -0.56
     Deg
    -0.55
     fid
    -0.55
    JP
    -0.55
    POSITIVE LOGITS
    uple
    0.67
    ousing
    0.61
    APTER
    0.60
    apest
    0.60
    vernment
    0.60
    leans
    0.59
    .''.
    0.59
    icut
    0.58
    wright
    0.57
    of
    0.57
    Activations Density 0.191%

    No Known Activations