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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. 6-RES-JB
    11. 15314
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    Explanations

    \textbf{terms related to planning, preparation, and action for various initiatives or challenges.}

    oai_token-act-pair · gpt-3.5-turbo

    actions involving preparation and attempts in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     understatement
    -0.72
    misc
    -0.63
     rapists
    -0.62
    Ļ½
    -0.59
    cpp
    -0.59
    airs
    -0.58
     Contributions
    -0.58
    amon
    -0.58
     Wrong
    -0.58
    och
    -0.57
    POSITIVE LOGITS
     progresses
    0.90
     unfolds
    0.85
     prepares
    0.80
     increasingly
    0.77
     progressed
    0.73
     consolid
    0.72
     transitioned
    0.70
     progressively
    0.69
    rily
    0.68
     mun
    0.68
    Activations Density 0.279%

    No Known Activations