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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. 10-RES-JB
    11. 12859
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    Explanations

    statements related to meetings between individuals

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to meetings and interactions between individuals or groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     "$:/
    -0.81
    é¾įå
    -0.80
    void
    -0.75
    ffff
    -0.72
     slur
    -0.70
    Throw
    -0.69
    ById
    -0.69
    atts
    -0.68
    itars
    -0.67
    street
    -0.66
    POSITIVE LOGITS
     representatives
    1.48
     mayors
    1.21
     governors
    1.18
     ambassadors
    1.17
     negotiators
    1.15
     presidents
    1.14
     CEOs
    1.14
     leaders
    1.14
     executives
    1.13
     stakeholders
    1.13
    Activations Density 0.195%

    No Known Activations