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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. 3-RES-JB
    11. 9138
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    INDEX
    Explanations

    superlatives such as "most" or "highest" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to superlatives or rankings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alid
    -0.73
    thur
    -0.70
    itan
    -0.67
    oÄŁ
    -0.67
    ubes
    -0.66
    gnu
    -0.65
    izon
    -0.65
    uron
    -0.63
    pton
    -0.63
    heid
    -0.62
    POSITIVE LOGITS
    likely
    0.91
     notable
    0.85
     likely
    0.77
     prominent
    0.77
    Favorite
    0.76
     noticeable
    0.75
     recognizable
    0.75
     prized
    0.74
     destro
    0.73
     exciting
    0.72
    Activations Density 0.063%

    No Known Activations