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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. 4-RES-JB
    6. 14998
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    Explanations

    references to stars and related properties, especially in the context of media or entertainment

    oai_token-act-pair · gpt-3.5-turbo

    terms related to movies and entertainment

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

    No Comments

    Negative Logits
    ord
    -0.87
    lahoma
    -0.83
    avier
    -0.78
    ucks
    -0.77
    opol
    -0.73
    roman
    -0.72
    onomic
    -0.72
    ffen
    -0.71
    heimer
    -0.69
    illance
    -0.69
    POSITIVE LOGITS
    NING
    1.34
    NESS
    1.31
    LIN
    1.30
    LINE
    1.30
    MAN
    1.27
    STON
    1.26
    ING
    1.26
    TER
    1.25
    INESS
    1.25
    MENT
    1.24
    Activations Density 0.103%

    No Known Activations