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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. 9-RES-JB
    11. 14363
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to subjects and issues being discussed or debated

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anova
    -0.75
    lett
    -0.68
    ãĥ³ãĤ¸
    -0.67
    othing
    -0.66
    ania
    -0.64
    eria
    -0.61
    sbm
    -0.60
     Trooper
    -0.60
    haar
    -0.60
    ãģĹ
    -0.60
    POSITIVE LOGITS
     of
    0.71
     raised
    0.70
    href
    0.69
     posed
    0.68
    wikipedia
    0.68
    ="#
    0.67
     topic
    0.67
     itself
    0.67
     politic
    0.67
     indirectly
    0.66
    Activations Density 0.141%

    No Known Activations