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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. 9394
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    Explanations

    phrases related to various forms of the word "Word"

    oai_token-act-pair · gpt-3.5-turbo

    the word "word" and its variations in different 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
    cffff
    -0.79
    kens
    -0.75
     Flavoring
    -0.74
    âĹ¼
    -0.73
    awaru
    -0.71
    abama
    -0.71
    itant
    -0.71
    psey
    -0.68
    NetMessage
    -0.67
    oulos
    -0.65
    POSITIVE LOGITS
    press
    1.24
    sworth
    0.99
    Press
    0.82
    edly
    0.80
     Word
    0.78
     ptr
    0.78
     processor
    0.77
    play
    0.77
     word
    0.76
    lessly
    0.76
    Activations Density 0.023%

    No Known Activations