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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. 17308
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    Explanations

    information related to sports rankings and statistics

    oai_token-act-pair · gpt-3.5-turbo

    data related to sports rankings and statistics

    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
    DERR
    -0.83
    ALD
    -0.72
    wald
    -0.71
    Lastly
    -0.71
    POL
    -0.70
    eyes
    -0.69
    pictured
    -0.68
    umerous
    -0.68
    kers
    -0.68
    react
    -0.68
    POSITIVE LOGITS
     Difference
    1.27
     Percent
    1.19
     Percentage
    1.16
     Actual
    1.14
     Notes
    1.13
     Avg
    1.12
     Amount
    1.10
     Description
    1.08
     Number
    1.04
     Name
    1.03
    Activations Density 0.201%

    No Known Activations