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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. 6-RES-JB
    11. 9936
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    INDEX
    Explanations

    phrases indicating desire or preference

    oai_token-act-pair · gpt-3.5-turbo

    expressions of desire or intent

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    errors
    -0.69
    livious
    -0.68
     enthusi
    -0.66
    iky
    -0.63
    EStreamFrame
    -0.63
    mitter
    -0.62
    squ
    -0.62
    dq
    -0.61
    Dro
    -0.60
    depend
    -0.60
    POSITIVE LOGITS
     sake
    0.71
    awaru
    0.70
    reprene
    0.69
     purposes
    0.69
     fuller
    0.66
     better
    0.66
     anything
    0.64
    acion
    0.63
    Continue
    0.63
     succeed
    0.62
    Activations Density 0.059%

    No Known Activations