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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. 11129
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    Explanations

    expressions related to desires or regrets

    oai_token-act-pair · gpt-3.5-turbo

    expressions of desire or wishing for change

    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
     precinct
    -0.69
    ftime
    -0.60
     plank
    -0.59
     strikingly
    -0.58
     violating
    -0.57
     scrut
    -0.57
     transgress
    -0.55
     thresholds
    -0.55
     threshold
    -0.54
     remarkably
    -0.54
    POSITIVE LOGITS
    htt
    0.79
     listened
    0.74
    hma
    0.73
     someday
    0.72
     existed
    0.71
    instead
    0.71
     hadn
    0.67
    nt
    0.66
    rael
    0.65
    ogle
    0.65
    Activations Density 0.110%

    No Known Activations