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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. 6-RES-JB
    11. 20680
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    INDEX
    Explanations

    opportunities in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of opportunities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aida
    -0.78
    eros
    -0.75
    hemat
    -0.75
    lee
    -0.74
    leys
    -0.72
    head
    -0.71
    sis
    -0.68
    amed
    -0.68
    arre
    -0.66
    acus
    -0.66
    POSITIVE LOGITS
     opportunities
    1.16
     opportunity
    1.06
     Opportun
    1.04
     Opportunity
    1.01
     afforded
    1.01
    llor
    0.77
     seekers
    0.74
     lapse
    0.73
    urities
    0.71
     hazards
    0.71
    Activations Density 0.033%

    No Known Activations