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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. 7361
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    Explanations

    opportunities

    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 @ 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
    hemat
    -0.72
    SO
    -0.70
    bey
    -0.70
    aida
    -0.69
    ded
    -0.68
    unit
    -0.68
    eros
    -0.67
    leys
    -0.67
    avia
    -0.65
    head
    -0.64
    POSITIVE LOGITS
     opportunities
    1.06
     afforded
    1.04
     opportunity
    1.00
     Opportun
    0.99
     Opportunity
    0.96
    llor
    0.80
     seekers
    0.76
    izons
    0.71
     presented
    0.71
    xual
    0.69
    Activations Density 0.036%

    No Known Activations