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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. 10-RES-JB
    11. 10393
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    Explanations

    number patterns related to sports statistics

    oai_token-act-pair · gpt-3.5-turbo

    negative numerical values or statistics related to performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Fidel
    -0.69
     Sidd
    -0.69
     banner
    -0.65
     sadd
    -0.64
     vocal
    -0.63
     Ud
    -0.62
     sod
    -0.61
     bree
    -0.60
     umb
    -0.60
     ey
    -0.60
    POSITIVE LOGITS
    1
    0.94
    0
    0.93
    2017
    0.91
    Switch
    0.91
    Match
    0.89
    2
    0.89
    quart
    0.87
    3
    0.86
    EXP
    0.86
    square
    0.86
    Activations Density 0.040%

    No Known Activations