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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. 24565
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    Explanations

    comparisons indicating a higher degree or quantity of something

    oai_token-act-pair · gpt-3.5-turbo

    comparative phrases emphasizing an increase or greater degree of something

    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
    xtap
    -0.84
    ãĥ¼ãĥĨãĤ£
    -0.76
    iard
    -0.74
    uca
    -0.73
     Attend
    -0.71
    heid
    -0.71
    ãĥĥãĤ¯
    -0.70
    ids
    -0.68
    gee
    -0.68
    vale
    -0.68
    POSITIVE LOGITS
     than
    1.16
     manageable
    1.01
     sophisticated
    1.00
     expensive
    0.99
     feasible
    0.96
     complicated
    0.95
     efficient
    0.93
     nuanced
    0.93
     stringent
    0.92
     interesting
    0.91
    Activations Density 0.055%

    No Known Activations