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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. 11-RES-JB
    11. 1693
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    Explanations

    hyphenated words or phrases containing action-related words

    oai_token-act-pair · gpt-3.5-turbo

    references to intense emotional experiences or suspenseful situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    èĢħ
    -0.65
    ulhu
    -0.63
     accommodations
    -0.61
     Emirates
    -0.58
     Alonso
    -0.58
    heny
    -0.58
     Opposition
    -0.56
     affiliation
    -0.56
     fireworks
    -0.56
     associations
    -0.55
    POSITIVE LOGITS
    eating
    1.06
    checking
    1.04
    faced
    1.00
    perfect
    0.93
    poor
    0.93
    deep
    0.92
    picking
    0.92
    solid
    0.92
    thin
    0.92
    near
    0.91
    Activations Density 0.052%

    No Known Activations