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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. 0-RES-JB
    11. 12839
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    Explanations

    negative sentiments or drawbacks in the text

    oai_token-act-pair · gpt-3.5-turbo

    negative sentiments or expressions of disappointment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ë
    -0.67
     doll
    -0.65
    arde
    -0.65
    ú
    -0.61
    ards
    -0.59
     fig
    -0.58
    glas
    -0.58
     Tinker
    -0.57
     Bolt
    -0.57
     Sebast
    -0.57
    POSITIVE LOGITS
    Percent
    0.75
     mosqu
    0.74
    ĵĺ
    0.71
     constitu
    0.66
     occupancy
    0.65
    entry
    0.64
     occurrences
    0.64
    atal
    0.64
     clipboard
    0.63
    Events
    0.62
    Activations Density 0.000%

    No Known Activations