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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. 4-RES-JB
    11. 24099
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    Explanations

    ter>'ter<' to be found in any context within the text

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "ter" and its variations, indicating a focus on thematic elements related to risks and threats

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

    No Comments

    Negative Logits
    ¬¼
    -0.69
    ELS
    -0.69
    ï¸
    -0.68
    uncture
    -0.62
     precaution
    -0.61
     Pace
    -0.61
    issance
    -0.60
     disparate
    -0.60
    Shar
    -0.60
     circum
    -0.58
    POSITIVE LOGITS
    geist
    1.32
    ranean
    1.15
    rors
    1.05
    rible
    1.02
    tainment
    0.95
    rane
    0.94
    ribly
    0.91
    brate
    0.87
    mine
    0.85
    gom
    0.85
    Activations Density 0.019%

    No Known Activations