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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. 4-RES-JB
    11. 24348
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    INDEX
    Explanations

    phrases related to specific locations and directions

    oai_token-act-pair · gpt-3.5-turbo

    references to places or establishments

    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
    henko
    -0.64
    ajor
    -0.63
    emonic
    -0.63
    zzy
    -0.62
    izzle
    -0.62
    lez
    -0.61
    zai
    -0.60
    vous
    -0.59
    iev
    -0.59
    sey
    -0.59
    POSITIVE LOGITS
    tyard
    0.77
     adjoining
    0.64
    opened
    0.64
    Located
    0.63
     Cemetery
    0.63
     frequ
    0.62
     occupied
    0.61
     draped
    0.61
    lain
    0.61
     staffed
    0.61
    Activations Density 1.748%

    No Known Activations