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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. 9-RES-JB
    11. 1528
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    INDEX
    Explanations

    mentions of clothing and fashion items

    oai_token-act-pair · gpt-3.5-turbo

    details related to media productions and their elements

    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
    ��
    -0.71
    èª
    -0.70
    Ä«
    -0.70
    Äģ
    -0.66
    ½
    -0.65
    \",
    -0.64
    ĺħ
    -0.64
    \":
    -0.63
    osate
    -0.62
    `.
    -0.61
    POSITIVE LOGITS
     Vegas
    0.68
     Borders
    0.64
     catering
    0.63
     Coliseum
    0.62
     MGM
    0.59
     Arkham
    0.58
     Patreon
    0.58
     seating
    0.57
     awarding
    0.57
     stocked
    0.57
    Activations Density 1.467%

    No Known Activations