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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. 166
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    Explanations

    phrases related to decision-making and different options

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to choices and options

    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
    ĸļ
    -0.67
     correctness
    -0.62
    sec
    -0.62
    important
    -0.62
     adolesc
    -0.62
     youngest
    -0.61
     stature
    -0.60
     milestones
    -0.60
    bound
    -0.60
    metadata
    -0.60
    POSITIVE LOGITS
    Option
    1.15
    xit
    1.06
     Option
    0.97
     alternatively
    0.91
    Alternatively
    0.85
    Either
    0.85
     alternatives
    0.85
    zzle
    0.80
     Either
    0.79
    disable
    0.76
    Activations Density 0.500%

    No Known Activations