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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 17561
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    INDEX
    Explanations

    the word "always" expressing continuity or permanence

    oai_token-act-pair · gpt-3.5-turbo

    expressions about consistency or reliability in various situations

    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
    IDA
    -0.86
    zai
    -0.72
    workshop
    -0.69
    pour
    -0.68
     <+
    -0.68
    fab
    -0.67
    dan
    -0.67
    regate
    -0.67
    ati
    -0.66
     largeDownload
    -0.66
    POSITIVE LOGITS
     bothered
    0.85
     necessarily
    0.77
     appre
    0.76
     forg
    0.74
    entimes
    0.72
    theless
    0.72
     encount
    0.71
     anymore
    0.71
     glimps
    0.71
     mistaken
    0.70
    Activations Density 0.019%

    No Known Activations