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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. 10-RES-JB
    6. 8867
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    INDEX
    Explanations

    contractions of specific verbs and pronouns

    oai_token-act-pair · gpt-3.5-turbo

    negations or words indicating inability or denial

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     eleph
    -0.92
    anwhile
    -0.87
     pione
    -0.85
     newcom
    -0.80
    senal
    -0.79
    ccording
    -0.75
    aditional
    -0.74
    Þ
    -0.74
     conclud
    -0.73
     enthusi
    -0.73
    POSITIVE LOGITS
    't
    1.58
    ned
    0.91
    ÃŃ
    0.90
    Õ
    0.90
    ´
    0.78
    eness
    0.78
    uts
    0.76
    nen
    0.74
    ny
    0.74
    ovan
    0.74
    Activations Density 0.155%

    No Known Activations