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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. 6894
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    INDEX
    Explanations

    opportunities or chances in a given context

    oai_token-act-pair · gpt-3.5-turbo

    references to opportunities

    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
    hemat
    -0.70
    cht
    -0.70
    ley
    -0.69
    leys
    -0.68
    aida
    -0.67
    atto
    -0.65
    ded
    -0.64
    bane
    -0.64
    uster
    -0.64
    arre
    -0.64
    POSITIVE LOGITS
     opportunity
    1.20
     opportunities
    1.15
     Opportun
    1.03
     Opportunity
    1.01
    llor
    0.90
     seekers
    0.78
    ossibility
    0.75
    ounters
    0.74
     afforded
    0.74
    izons
    0.74
    Activations Density 0.021%

    No Known Activations