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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. 4-RES-JB
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    Explanations

    references to 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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ³³³³³³³³³³³³³³³³
    -0.72
    ³³³³³³³³
    -0.70
    bery
    -0.65
     accur
    -0.65
     CHO
    -0.62
     charism
    -0.60
    heid
    -0.60
    xon
    -0.59
    tin
    -0.59
     Daniels
    -0.58
    POSITIVE LOGITS
    Reddit
    1.08
    icum
    0.98
    reddits
    0.96
     Username
    0.93
    ors
    0.92
     Reddit
    0.92
     AMA
    0.82
     user
    0.78
    ername
    0.78
     thread
    0.76
    Activations Density 0.010%

    No Known Activations