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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. 14210
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    Explanations

    references to specific names such as "Newton" and "Edison."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Newton."

    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
    Veter
    -0.74
    DonaldTrump
    -0.73
    pport
    -0.73
    ansas
    -0.70
    inion
    -0.69
    ħĭ
    -0.67
    eping
    -0.66
    orescent
    -0.65
    ————————————————
    -0.65
    EStreamFrame
    -0.64
    POSITIVE LOGITS
     Newton
    1.03
    enberg
    0.79
    ©¶æ¥µ
    0.77
    batch
    0.72
    sburg
    0.69
    ufact
    0.69
     Landing
    0.69
     Ragnarok
    0.68
     Keynes
    0.67
    icity
    0.66
    Activations Density 0.010%

    No Known Activations