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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 2164
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    Explanations

    distances in miles or kilometers

    oai_token-act-pair · gpt-3.5-turbo
    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
     guiName
    -0.74
    ivalry
    -0.65
     showc
    -0.63
     actionGroup
    -0.58
     Cosponsors
    -0.56
    apego
    -0.54
    20439
    -0.54
     pse
    -0.52
    algia
    -0.51
    Vote
    -0.51
    POSITIVE LOGITS
    )
    1.35
    )!
    1.23
    )—
    1.22
    ),"
    1.21
    ),
    1.20
    )'
    1.16
    )-
    1.10
    ).
    1.10
    )--
    1.05
    )"
    1.03
    Activations Density 0.050%

    No Known Activations