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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. 10-RES-JB
    11. 23496
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    INDEX
    Explanations

    proper nouns, especially names of people

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lance
    -0.68
    lessly
    -0.67
     coffin
    -0.63
    going
    -0.61
    meaning
    -0.59
     slightest
    -0.59
    minist
    -0.58
     meaning
    -0.57
     centr
    -0.57
     umbrella
    -0.56
    POSITIVE LOGITS
    zyk
    0.94
     Sabha
    0.84
    sson
    0.84
    opoulos
    0.80
    ensen
    0.79
    psons
    0.79
    akis
    0.77
    bos
    0.76
    amins
    0.76
    ä½ľ
    0.73
    Activations Density 0.152%

    No Known Activations