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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 16910
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    Explanations

    mentions of the word "pap" or related words like "papal" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to papal topics or the Pope

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hirt
    -0.82
    UCT
    -0.82
    VE
    -0.71
    IDES
    -0.70
    IGHTS
    -0.70
    everal
    -0.69
    terday
    -0.68
     Wonderland
    -0.66
    é¾
    -0.66
    CONCLUS
    -0.64
    POSITIVE LOGITS
    yrus
    1.47
    rika
    1.19
    ular
    1.03
    aya
    1.03
    ilion
    1.02
    acy
    1.02
    arella
    1.01
    oleon
    1.01
    illion
    0.99
    illon
    0.97
    Activations Density 0.042%

    No Known Activations