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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. 6971
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    Explanations

    statements suggesting the presence or absence of evidence or proof

    oai_token-act-pair · gpt-3.5-turbo

    assertions or claims of the absence of evidence

    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
    Not in Any Lists

    No Comments

    Negative Logits
     reminds
    -0.68
     lamented
    -0.65
    rer
    -0.63
     remind
    -0.61
     Digest
    -0.61
     congratulated
    -0.61
    rers
    -0.60
     Generations
    -0.58
     reminded
    -0.58
    aunts
    -0.58
    POSITIVE LOGITS
     somew
    1.03
     sufficient
    0.98
     insufficient
    0.96
    enough
    0.93
     ample
    0.89
     validity
    0.88
     enough
    0.88
    omething
    0.87
     overlap
    0.86
     wrongdoing
    0.86
    Activations Density 0.115%

    No Known Activations