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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. 6-RES-JB
    6. 10187
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    INDEX
    Explanations

    key actionable steps or commands in a technical context

    oai_token-act-pair · gpt-3.5-turbo

    actionable words or phrases related to tasks and instructions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    .","
    -0.59
     ..."
    -0.56
     thereto
    -0.55
     �
    -0.54
     ''
    -0.53
     ``(
    -0.52
    .�
    -0.51
     ``
    -0.50
     otherwise
    -0.48
     â̦"
    -0.48
    POSITIVE LOGITS
    odore
    0.87
    resa
    0.87
    bidden
    0.73
    tymology
    0.72
    jamin
    0.71
    xiety
    0.71
    foundland
    0.69
    swers
    0.69
    cyclopedia
    0.69
    notations
    0.68
    Activations Density 0.705%

    No Known Activations