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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. 22
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    INDEX
    Explanations

    political terms and institutions

    oai_token-act-pair · gpt-3.5-turbo

    references to political entities and structures

    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
    lopp
    -0.63
     Trop
    -0.58
    GW
    -0.55
     Bree
    -0.54
     highs
    -0.54
     entreprene
    -0.52
     prototypes
    -0.52
     Lov
    -0.51
     IPO
    -0.50
    struct
    -0.50
    POSITIVE LOGITS
     whom
    0.90
     who
    0.85
     alike
    0.79
     respectively
    0.72
     irrespective
    0.72
    who
    0.71
    edom
    0.70
    ãĢĤ
    0.70
    .
    0.68
     subscribing
    0.66
    Activations Density 0.447%

    No Known Activations