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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. 7-RES-JB
    6. 6798
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    INDEX
    Explanations

    the phrases where someone expresses their opinion or belief

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating expressions of personal opinion or assertion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mes
    -0.74
    govtrack
    -0.64
    ukong
    -0.63
    awar
    -0.61
     decom
    -0.60
    leans
    -0.60
     arra
    -0.60
    ahime
    -0.59
    Lenin
    -0.59
    uga
    -0.56
    POSITIVE LOGITS
     confidently
    0.92
     anecd
    0.77
    quist
    0.76
    ħĭ
    0.74
    idate
    0.74
     vividly
    0.68
     Attribution
    0.66
     unequivocally
    0.66
    rist
    0.65
    003
    0.64
    Activations Density 0.095%

    No Known Activations