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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. 2-RES-JB
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    Explanations

    the initials "AT&T"

    oai_token-act-pair · gpt-3.5-turbo

    references to AT&T and its associated products or services

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Kazakh
    -0.77
     Nicarag
    -0.71
     Alberto
    -0.66
     Django
    -0.66
     Younger
    -0.65
     FORM
    -0.64
    ãĤ©
    -0.63
    м
    -0.62
     Slightly
    -0.61
    begin
    -0.61
    POSITIVE LOGITS
     Wireless
    0.76
    vation
    0.75
     Corporation
    0.72
     subscribers
    0.72
     Stores
    0.71
     Depot
    0.71
    hesda
    0.69
    conn
    0.69
    upid
    0.68
    Bay
    0.68
    Activations Density 0.069%

    No Known Activations