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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. 2-RES-JB
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    repetitions of the word "That."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    "],"
    -0.71
    hips
    -0.70
     dispens
    -0.68
    burg
    -0.65
    arson
    -0.62
    æĿ
    -0.62
    cloth
    -0.60
    borg
    -0.60
    ãĥĥãĤ¯
    -0.58
    pent
    -0.58
    POSITIVE LOGITS
    eatures
    0.95
     pesky
    0.85
    cher
    0.82
     fateful
    0.77
    soever
    0.76
     culminated
    0.75
     citiz
    0.75
    iago
    0.74
    ccording
    0.73
    esson
    0.71
    Activations Density 0.171%

    No Known Activations