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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. 11926
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    Explanations

    actions related to communication and interaction

    oai_token-act-pair · gpt-3.5-turbo

    phrases associated with digital communication and media consumption

    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
     herein
    -0.63
     suffice
    -0.63
    hesis
    -0.63
    Lex
    -0.62
    imposed
    -0.62
    ario
    -0.60
    href
    -0.60
    ensing
    -0.60
     encomp
    -0.59
     fortunately
    -0.58
    POSITIVE LOGITS
     etc
    0.77
    etc
    0.73
     oneself
    0.71
     them
    0.69
     meals
    0.69
    \\\\\\\\
    0.68
     workshops
    0.67
    ãģ£
    0.66
    ãģĦ
    0.66
     friends
    0.65
    Activations Density 0.442%

    No Known Activations