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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. 19819
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    INDEX
    Explanations

    phrases related to conflict, tension, or struggle

    oai_token-act-pair · gpt-3.5-turbo

    words related to straying or deviation

    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
    SHIP
    -0.78
    balls
    -0.62
    fulness
    -0.60
    jamin
    -0.59
    merce
    -0.59
     blush
    -0.57
    STON
    -0.57
    Story
    -0.56
     traffic
    -0.56
     pleas
    -0.56
    POSITIVE LOGITS
    angled
    1.24
    aditional
    1.23
    addle
    1.23
    angling
    1.22
    angle
    1.21
    atum
    1.21
    aining
    1.20
    ategic
    1.12
    ung
    1.11
    idently
    1.09
    Activations Density 0.009%

    No Known Activations