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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. 14397
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    Explanations

    mentions of the word "Mont" in the text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Monty" or related references to Monty Python

    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
    ACTED
    -0.83
    glers
    -0.77
    pta
    -0.77
    Thumbnail
    -0.72
    ãģĦ
    -0.72
     Darkness
    -0.70
     kit
    -0.67
    æĢ
    -0.66
    ħĭ
    -0.65
     twitch
    -0.62
    POSITIVE LOGITS
    essor
    1.22
    agne
    1.17
    erey
    1.12
    gomery
    1.09
    fort
    1.06
    ré
    1.02
     Blanc
    1.00
    ague
    0.97
    aign
    0.95
    eneg
    0.94
    Activations Density 0.023%

    No Known Activations