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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. 8-RES-JB
    11. 8447
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    INDEX
    Explanations

    phrases related to comparison or emphasis

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating negative consequences or implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zan
    -0.86
    iversal
    -0.70
    ornings
    -0.65
    byter
    -0.64
    ģĸ
    -0.61
    agascar
    -0.61
    Ļ½
    -0.60
    gypt
    -0.60
     Pradesh
    -0.59
    æķ
    -0.59
    POSITIVE LOGITS
    liest
    0.91
    iest
    0.77
     whence
    0.74
     thereof
    0.64
    agonist
    0.64
    rium
    0.64
     Oper
    0.62
     McH
    0.61
    behind
    0.61
    ariat
    0.60
    Activations Density 0.797%

    No Known Activations