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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. 9-RES-JB
    11. 13168
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    Explanations

    details related to numerical values, measurements, and units

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to measurements or quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Picture
    -0.59
    UE
    -0.58
    LET
    -0.57
    SG
    -0.57
    Ax
    -0.56
    Query
    -0.56
    OA
    -0.55
    Ô
    -0.55
    ãĥķãĤ©
    -0.55
    Matrix
    -0.54
    POSITIVE LOGITS
    )).
    0.68
    ]).
    0.66
     mosqu
    0.62
    %).
    0.61
    .).
    0.60
     latter
    0.60
     respectively
    0.57
     rook
    0.57
     Juda
    0.56
    anooga
    0.56
    Activations Density 0.521%

    No Known Activations