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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. 3671
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    Explanations

    references to something happening regularly or repeatedly

    oai_token-act-pair · gpt-3.5-turbo

    the word "regularly" and its variations, indicating habitual or frequent actions

    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
    ster
    -0.75
    elo
    -0.73
    soc
    -0.73
    lad
    -0.68
    tein
    -0.66
    emetery
    -0.65
    bern
    -0.65
    toc
    -0.65
    hammad
    -0.64
    jah
    -0.64
    POSITIVE LOGITS
     spaced
    0.97
    theless
    0.89
     Asked
    0.88
     monitored
    0.84
     referred
    0.81
     employed
    0.80
     encount
    0.79
     reapp
    0.77
     encountered
    0.76
     consulted
    0.76
    Activations Density 0.058%

    No Known Activations