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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. 12-RES-JB
    6. 6995
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    INDEX
    Explanations

    phrases related to making choices or comparisons

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    prepositions and their usage in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
    arta
    -0.78
    Synopsis
    -0.76
    lys
    -0.72
    laughter
    -0.67
    CVE
    -0.66
    cies
    -0.66
    arrell
    -0.65
    urnal
    -0.64
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.63
    imbabwe
    -0.63
    POSITIVE LOGITS
     relying
    1.44
     using
    1.35
     having
    1.27
     opting
    1.24
     buying
    1.24
     installing
    1.23
     putting
    1.20
     preferring
    1.20
     needing
    1.17
     adding
    1.16
    Activations Density 0.448%

    No Known Activations