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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. 1-RES-JB
    11. 1006
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    INDEX
    Explanations

    mentions of large groups or collections of things/people

    oai_token-act-pair · gpt-3.5-turbo

    references to collective actions or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ³ãĤ¸
    -0.80
    coni
    -0.78
    izoph
    -0.77
     Yar
    -0.72
    ISO
    -0.71
    iculture
    -0.71
     Ratt
    -0.70
     "$:/
    -0.70
    rade
    -0.70
    abul
    -0.69
    POSITIVE LOGITS
    pard
    0.82
     kne
    0.80
    atility
    0.79
    ĪĴ
    0.77
     compr
    0.77
     kneeling
    0.76
    vel
    0.76
     Marketable
    0.75
    pherd
    0.74
    theless
    0.73
    Activations Density 0.025%

    No Known Activations