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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. 8-RES-JB
    11. 1909
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    INDEX
    Explanations

    occurrences of presentations or discussions and related activities in a professional setting

    oai_token-act-pair · gpt-3.5-turbo

    references to research presentations and conferences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     neglig
    -0.68
     hell
    -0.65
     hose
    -0.65
    ilus
    -0.64
    pmwiki
    -0.64
    Ö
    -0.63
     sling
    -0.63
     revenge
    -0.63
     sooner
    -0.62
     somehow
    -0.62
    POSITIVE LOGITS
     presentations
    1.14
     keynote
    1.10
     attendees
    1.09
     conference
    1.08
     convened
    1.03
    posium
    1.01
     chaired
    1.01
    enum
    0.98
     presentation
    0.96
     deliberations
    0.96
    Activations Density 0.590%

    No Known Activations