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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
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    Explanations

    the word "Swe" followed by a digit between 6 and 10

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Swe" and its variations

    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
     PowerPoint
    -0.78
     LIFE
    -0.75
     misinformation
    -0.67
     geography
    -0.66
     circumstance
    -0.66
    ional
    -0.66
     gravity
    -0.65
     credibility
    -0.65
     vic
    -0.65
     FANT
    -0.65
    POSITIVE LOGITS
    arer
    1.09
    eping
    1.04
    itzer
    1.00
    swe
    1.00
    izzard
    0.96
    atered
    0.94
    Swe
    0.93
    pt
    0.92
    estone
    0.91
    ¸
    0.91
    Activations Density 0.008%

    No Known Activations