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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. 8577
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    Explanations

    rarely used words or phrases

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "rarely" and related terms indicating infrequency

    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
    loo
    -0.79
     Universe
    -0.75
    oÄŁ
    -0.74
    åĤ
    -0.73
    utenberg
    -0.70
     Destruction
    -0.69
     srf
    -0.67
    hang
    -0.66
     Melt
    -0.66
     Maze
    -0.66
    POSITIVE LOGITS
    theless
    1.31
    entimes
    1.09
     bothered
    0.88
    pmwiki
    0.87
     dime
    0.87
    icably
    0.84
     bother
    0.80
     EVER
    0.79
    soever
    0.76
     Asked
    0.75
    Activations Density 0.021%

    No Known Activations