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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 5365
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    Explanations

    vague and ambiguous language

    oai_token-act-pair · gpt-3.5-turbo

    terms related to ambiguity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    din
    -0.85
    Reviewer
    -0.77
    hers
    -0.76
    nea
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    iseum
    -0.70
    Drive
    -0.70
    tes
    -0.69
    tackle
    -0.67
    tha
    -0.66
    ians
    -0.65
    POSITIVE LOGITS
     notions
    0.87
     neb
    0.84
     recollection
    0.83
     wording
    0.82
     outlines
    0.81
    ures
    0.80
     hints
    0.76
     outline
    0.75
     ceasefire
    0.75
     phr
    0.73
    Activations Density 0.051%

    No Known Activations