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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. 13539
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    Explanations

    hyphenated words

    oai_token-act-pair · gpt-3.5-turbo

    negative sentiments or criticisms

    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
     nursing
    -0.85
     slog
    -0.84
     climbing
    -0.79
     swearing
    -0.77
     icing
    -0.76
     catast
    -0.76
     aggravated
    -0.76
     hydra
    -0.76
     malf
    -0.75
     popul
    -0.75
    POSITIVE LOGITS
    Own
    1.31
    Country
    1.29
    Games
    1.25
    Aid
    1.24
    Ey
    1.22
    Tech
    1.22
    School
    1.21
    Specific
    1.21
    Strike
    1.20
    Imp
    1.20
    Activations Density 0.109%

    No Known Activations