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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. 3-RES-JB
    11. 4570
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    INDEX
    Explanations

    phrases related to a specific name or term "Asa" or "Aja"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names or terms related to people or organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    polit
    -0.83
    igree
    -0.76
     Petraeus
    -0.73
    tk
    -0.68
    papers
    -0.67
    egg
    -0.66
    iating
    -0.66
    ding
    -0.65
    iations
    -0.64
    gradient
    -0.63
    POSITIVE LOGITS
    asa
    1.09
    ñ
    0.98
    ãĤ´ãĥ³
    0.94
    heed
    0.88
    udi
    0.87
    ques
    0.82
    quez
    0.80
    isoft
    0.79
    HAHA
    0.78
    hei
    0.77
    Activations Density 0.010%

    No Known Activations