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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. 12-RES-JB
    11. 4259
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    Explanations

    interactions between individuals or groups in various settings

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    words associated with social interaction and engagement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    _-
    -0.69
    20439
    -0.66
    ucks
    -0.63
    coming
    -0.61
    FontSize
    -0.59
    mination
    -0.59
    oops
    -0.58
    alling
    -0.57
     Publication
    -0.57
    >[
    -0.57
    POSITIVE LOGITS
     freely
    1.21
     peacefully
    1.19
     positively
    1.11
     extensively
    1.11
     intensely
    1.10
     negatively
    1.09
     violently
    1.09
     aggressively
    1.09
     passionately
    1.08
     vigorously
    1.08
    Activations Density 0.232%

    No Known Activations