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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. 11-RES-JB
    6. 6855
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    Explanations

    phrases related to critique or evaluation

    oai_token-act-pair · gpt-3.5-turbo

    instances of significant events or statements related to criticism or reporting

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    è¦ļéĨĴ
    -0.72
    FTWARE
    -0.69
    atos
    -0.67
    =>
    -0.63
    miah
    -0.63
    ilst
    -0.62
    iem
    -0.61
     Supports
    -0.61
    rush
    -0.60
    iological
    -0.59
    POSITIVE LOGITS
     nonetheless
    1.66
     nevertheless
    1.52
    etheless
    1.25
     also
    1.23
     ALSO
    1.10
     still
    1.09
    also
    1.04
     hardly
    1.03
     equally
    0.99
    still
    0.99
    Activations Density 0.454%

    No Known Activations