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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. 2609
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    Explanations

    phrases indicating the timing or suitability of specific actions or events

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the concept of an ideal or perfect time and place for specific activities or discussions

    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
    ancies
    -0.79
    iencies
    -0.75
    roy
    -0.65
    olitics
    -0.61
    yrus
    -0.61
    hes
    -0.60
    IRE
    -0.59
     Crus
    -0.59
    ymes
    -0.58
    ĸļ
    -0.58
    POSITIVE LOGITS
    isphere
    0.81
     candidate
    0.71
     opportunity
    0.71
     capitalize
    0.70
     for
    0.68
    imum
    0.67
     introducing
    0.67
     recommendation
    0.66
     target
    0.66
     opp
    0.65
    Activations Density 0.182%

    No Known Activations