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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. 6280
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    Explanations

    adverbs ending in 'ly' that may convey intensity or emotion

    oai_token-act-pair · gpt-3.5-turbo

    adverbs that describe intensity or manner

    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
    aea
    -0.80
    speech
    -0.77
    elsen
    -0.77
    raltar
    -0.76
    wal
    -0.74
    sburgh
    -0.74
    afety
    -0.73
    orem
    -0.72
    rite
    -0.72
    erto
    -0.71
    POSITIVE LOGITS
     inept
    0.97
     close
    0.92
     accurate
    0.90
     priced
    0.89
     catchy
    0.89
     inaccurate
    0.87
     addictive
    0.85
     expensive
    0.84
     awful
    0.84
     optimistic
    0.83
    Activations Density 0.087%

    No Known Activations