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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. 5-RES-JB
    6. 20910
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    Explanations

    numerical patterns and sequences

    oai_token-act-pair · gpt-3.5-turbo

    numerical identifiers or values within potentially legal or regulatory contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     guiName
    -0.85
    accompan
    -0.67
     asses
    -0.64
     [];
    -0.63
    .''
    -0.63
    javascript
    -0.62
    iencies
    -0.61
     '.
    -0.61
     [...]
    -0.60
    ''.
    -0.60
    POSITIVE LOGITS
    )"
    1.39
    ),"
    1.30
    )/
    1.28
    )
    1.22
    )",
    1.20
    )--
    1.20
    )—
    1.12
    ):
    1.11
    *)
    1.09
    )]
    1.07
    Activations Density 0.157%

    No Known Activations