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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
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    Explanations

    mentions of the platform "Reddit"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the platform "Reddit."

    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
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    No Comments

    Negative Logits
    ³³³³³³³³³³³³³³³³
    -0.65
     blinded
    -0.65
    imilar
    -0.63
     fidelity
    -0.61
    OPA
    -0.59
    tin
    -0.59
    ³³³³³³³³
    -0.58
     accur
    -0.58
     Stella
    -0.56
     CHO
    -0.56
    POSITIVE LOGITS
    ors
    1.07
     Username
    1.03
    reddits
    1.03
    Reddit
    0.90
    icum
    0.86
     AMA
    0.81
     thread
    0.81
     Enhancement
    0.80
    username
    0.80
    Bot
    0.79
    Activations Density 0.050%

    No Known Activations