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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 15051
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    Explanations

    combinations of elements or factors

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe combinations of elements or factors

    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
    artisan
    -0.70
    yers
    -0.70
    shr
    -0.68
    cients
    -0.67
    ached
    -0.67
    arers
    -0.67
    ternity
    -0.66
    ond
    -0.66
    ser
    -0.65
    ÅĤ
    -0.65
    POSITIVE LOGITS
     combination
    0.98
     combinations
    0.96
    ãĤ«
    0.79
    ãĤ¤ãĥĪ
    0.76
    ocation
    0.74
     thereof
    0.74
    ãĤ¼ãĤ¦ãĤ¹
    0.72
    uations
    0.71
     mixture
    0.70
    ãĥ¼ãĥ³
    0.70
    Activations Density 0.012%

    No Known Activations