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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. 20640
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    INDEX
    Explanations

    phrases or sentences indicating potential consequences or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate causation or consequences

    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
    Fram
    -0.59
    iling
    -0.59
    pload
    -0.59
    iddler
    -0.59
    atching
    -0.58
    ighth
    -0.58
     Sunshine
    -0.57
    terday
    -0.56
    afort
    -0.56
    schild
    -0.56
    POSITIVE LOGITS
    gers
    0.90
    wcs
    0.84
    uez
    0.78
    ging
    0.76
    -+
    0.74
    iments
    0.73
    ges
    0.71
     inex
    0.71
    better
    0.71
    stones
    0.70
    Activations Density 0.039%

    No Known Activations