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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. 10324
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    phrases related to building and development

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to building and development

    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
    nor
    -0.73
    write
    -0.70
    autions
    -0.70
    plain
    -0.70
     Unsure
    -0.67
    pless
    -0.64
    idays
    -0.63
     directions
    -0.62
    ãĥĺ
    -0.62
    uphem
    -0.60
    POSITIVE LOGITS
     rapport
    1.32
     reputation
    1.21
     credibility
    1.07
     trust
    1.07
     friendships
    1.06
     relationships
    1.04
     awareness
    1.02
     momentum
    1.01
     confidence
    1.01
     alliances
    1.00
    Activations Density 0.291%

    No Known Activations