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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. 9-RES-JB
    11. 2642
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    Explanations

    words related to specific activities or events happening in a narrative context

    oai_token-act-pair · gpt-3.5-turbo

    situations involving emergency or crisis circumstances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     favourable
    -0.65
     cogn
    -0.64
    ompl
    -0.63
     ACTIONS
    -0.63
    estones
    -0.63
     reciproc
    -0.62
     favorable
    -0.61
     appro
    -0.61
     favorably
    -0.60
     acknowledging
    -0.60
    POSITIVE LOGITS
     anymore
    1.00
     :(
    0.95
    Solution
    0.94
    Instead
    0.85
     starve
    0.85
     Instead
    0.85
     resorted
    0.84
     nor
    0.80
     Worse
    0.80
     desperation
    0.79
    Activations Density 0.662%

    No Known Activations