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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. 7-RES-JB
    11. 21312
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    Explanations

    adjectives that describe actions

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and modifiers, particularly focusing on nuanced comparisons and distinctions within statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ETS
    -0.93
    SHIP
    -0.85
    ESE
    -0.81
    Ws
    -0.79
    çīĪ
    -0.78
    AGES
    -0.77
    ESCO
    -0.77
    ATS
    -0.74
    ERA
    -0.73
     VIDEOS
    -0.73
    POSITIVE LOGITS
     therefore
    1.04
     possibly
    0.99
     prone
    0.97
     hence
    0.95
     thus
    0.95
     unpredictable
    0.95
     economical
    0.89
     consequently
    0.87
     adventurous
    0.86
     riddled
    0.84
    Activations Density 0.196%

    No Known Activations