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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. 8655
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    INDEX
    Explanations

    phrases that express uncertainty or qualification

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a sense of ambiguity or vagueness

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    iership
    -0.85
    ESE
    -0.85
    utherland
    -0.82
    ULTS
    -0.80
    ests
    -0.78
    eful
    -0.76
    BAT
    -0.75
    ACA
    -0.75
    umerable
    -0.74
    IAL
    -0.73
    POSITIVE LOGITS
     messed
    1.02
     screwed
    1.01
     fucked
    0.91
     sucks
    0.91
     bum
    0.90
     reminds
    0.90
     neat
    0.90
     sucked
    0.86
     weird
    0.84
     lame
    0.83
    Activations Density 0.049%

    No Known Activations