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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
    11. 5688
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    INDEX
    Explanations

    differences between various concepts or entities

    oai_token-act-pair · gpt-3.5-turbo

    phrases discussing distinctions or differences

    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
    Not in Any Lists

    No Comments

    Negative Logits
    OGR
    -0.80
    unc
    -0.78
    bye
    -0.75
    iard
    -0.75
    \\\\\\\\
    -0.74
    =-=-=-=-
    -0.72
    ship
    -0.71
    çī
    -0.71
    TPPStreamerBot
    -0.71
    ocument
    -0.70
    POSITIVE LOGITS
     sexes
    1.15
     genders
    1.08
     halves
    0.85
     them
    0.83
     eras
    0.81
     those
    0.80
     permissible
    0.77
     sides
    0.77
     these
    0.76
     extremes
    0.74
    Activations Density 0.050%

    No Known Activations