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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. 3-RES-JB
    11. 15676
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    INDEX
    Explanations

    mentions of the word "Bravo" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific entertainment platforms and individuals involved in related content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itives
    -0.92
    ãĤ¼ãĤ¦ãĤ¹
    -0.88
    circ
    -0.83
    ificent
    -0.82
    hips
    -0.82
    folk
    -0.79
    ospace
    -0.78
    ãĤ£
    -0.76
    sburg
    -0.75
    rarily
    -0.75
    POSITIVE LOGITS
     Bravo
    0.99
     compr
    0.76
    odcast
    0.71
    zzle
    0.71
    ACP
    0.70
    INO
    0.69
     bye
    0.68
     Wink
    0.68
     broadcaster
    0.68
     Rib
    0.67
    Activations Density 0.031%

    No Known Activations