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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. 8825
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    Explanations

    instances of emotional or tangible support

    oai_token-act-pair · gpt-3.5-turbo

    references to assistance or backing 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
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    Negative Logits
    vern
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    Course
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    apeake
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    ãĥ£
    -0.63
     darn
    -0.62
    NetMessage
    -0.61
     dare
    -0.61
     Hebdo
    -0.60
     Mile
    -0.60
    kered
    -0.59
    POSITIVE LOGITS
     Supports
    0.91
     support
    0.88
    Support
    0.85
     supports
    0.75
    ament
    0.75
    orship
    0.73
    yip
    0.73
    raints
    0.72
     Support
    0.72
    heses
    0.72
    Activations Density 0.044%

    No Known Activations