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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. 0-RES-JB
    11. 9956
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    INDEX
    Explanations

    words related to positive attributes or values

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to mindfulness and its associated qualities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     press
    -0.70
     major
    -0.62
     ticket
    -0.61
     Press
    -0.60
     displaced
    -0.60
     minor
    -0.57
     places
    -0.56
     platinum
    -0.55
     fan
    -0.54
     spec
    -0.54
    POSITIVE LOGITS
    fulness
    4.87
    fully
    1.97
    ful
    1.95
    FUL
    1.85
    lessness
    1.81
    liness
    1.67
    worthiness
    1.63
    iness
    1.44
    iveness
    1.37
    smanship
    1.29
    Activations Density 0.015%

    No Known Activations