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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. 6-RES-JB
    11. 18847
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    INDEX
    Explanations

    words related to an exceptional or significant degree of something

    oai_token-act-pair · gpt-3.5-turbo

    the word "quite" and its variations in usage

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    venant
    -0.95
    elsen
    -0.92
    PLIED
    -0.84
     DRAG
    -0.82
    adelphia
    -0.73
    ultimate
    -0.72
    ULTS
    -0.71
    erson
    -0.71
    igraph
    -0.69
    waukee
    -0.68
    POSITIVE LOGITS
     frankly
    0.89
     nice
    0.76
     tame
    0.71
     nifty
    0.71
     alright
    0.70
     readable
    0.69
     frightening
    0.69
     spoil
    0.68
     literally
    0.67
     lovely
    0.66
    Activations Density 0.019%

    No Known Activations