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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. 23072
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    Explanations

    instances where something or someone is being actively 'involved' in different activities or situations

    oai_token-act-pair · gpt-3.5-turbo

    instances of involvement or participation in various contexts

    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
    izons
    -0.76
    osponsors
    -0.70
     Poles
    -0.65
    ormons
    -0.64
     Yorkers
    -0.64
    installed
    -0.62
     cents
    -0.60
    mates
    -0.60
    available
    -0.60
    lf
    -0.58
    POSITIVE LOGITS
     fray
    1.04
     discussions
    0.99
     activities
    0.99
     proceedings
    0.97
     pursuits
    0.95
     festivities
    0.93
     affairs
    0.93
     endeavor
    0.91
     deliberations
    0.91
     endeavour
    0.89
    Activations Density 0.472%

    No Known Activations