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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. 7-RES-JB
    11. 18680
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    INDEX
    Explanations

    names or proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    names of people, specifically in relation to news or entertainment contexts

    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
    zeb
    -0.68
    onyms
    -0.68
    anz
    -0.66
    bow
    -0.65
    bows
    -0.65
    istries
    -0.64
    leaders
    -0.62
     morning
    -0.61
    vik
    -0.60
    ogeneous
    -0.60
    POSITIVE LOGITS
    adden
    0.78
    ISTER
    0.77
    ENCE
    0.77
     McF
    0.75
    PORT
    0.73
    razil
    0.71
    arious
    0.70
    ACTED
    0.70
    ERAL
    0.70
    TOR
    0.69
    Activations Density 0.135%

    No Known Activations