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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. 11-RES-JB
    11. 1610
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names and titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     hindsight
    -0.59
    JECT
    -0.58
     neutrality
    -0.55
     jud
    -0.53
     unfocusedRange
    -0.53
     fixme
    -0.52
     illeg
    -0.52
     crest
    -0.52
     bang
    -0.51
     err
    -0.51
    POSITIVE LOGITS
    aza
    0.80
    oyal
    0.79
    leck
    0.74
    chuk
    0.73
    ousse
    0.72
    ongo
    0.72
    uchi
    0.71
    icter
    0.70
    ococ
    0.70
    anta
    0.70
    Activations Density 0.167%

    No Known Activations