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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
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    Explanations

    the word "or"

    oai_token-act-pair · gpt-3.5-turbo

    the conditional phrase "whether or not."

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
     antioxid
    -0.60
     Trophy
    -0.57
     Scrib
    -0.57
    ĸļ
    -0.55
     Tec
    -0.55
    Score
    -0.54
     Pony
    -0.54
     Sixth
    -0.53
     Crunch
    -0.53
     Romeo
    -0.52
    POSITIVE LOGITS
    acle
    0.89
    acles
    0.88
    ivably
    0.76
    Else
    0.73
    nam
    0.72
    acular
    0.70
    ifice
    0.69
    lando
    0.66
    osite
    0.65
    lege
    0.64
    Activations Density 0.020%

    No Known Activations