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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. 12096
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    INDEX
    Explanations

    mentions of updates or collaborations bringing changes or improvements

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "brings" in various contexts

    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
    schild
    -0.87
    raid
    -0.79
    dating
    -0.74
    uchs
    -0.71
    debian
    -0.71
    livious
    -0.71
    hemat
    -0.70
    doms
    -0.70
    FactoryReloaded
    -0.67
    ructure
    -0.66
    POSITIVE LOGITS
     forth
    0.90
     guests
    0.80
    bring
    0.73
    glers
    0.72
     forward
    0.72
    backs
    0.70
     together
    0.69
    overs
    0.67
     visitors
    0.67
    entious
    0.67
    Activations Density 0.033%

    No Known Activations