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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. 6025
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    INDEX
    Explanations

    phrases emphasizing a large quantity or number

    oai_token-act-pair · gpt-3.5-turbo

    repetitive phrases that emphasize the quantity of people or things

    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
    gary
    -0.76
    ando
    -0.72
    heid
    -0.69
     Citizens
    -0.66
    acus
    -0.66
    perty
    -0.64
     Realms
    -0.63
     Correspond
    -0.62
    sburgh
    -0.62
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.61
    POSITIVE LOGITS
     amount
    0.77
    needed
    0.64
    picture
    0.64
    catentry
    0.63
    ãĥ³
    0.61
     amounts
    0.61
    entimes
    0.60
     of
    0.60
    uma
    0.59
     chunk
    0.59
    Activations Density 0.039%

    No Known Activations