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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. 11062
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    Explanations

    adjectives and verbs related to intensifying or emphasizing certain qualities or actions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to complexity and uncertainty in situations or conditions

    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
    cel
    -0.36
     Dalai
    -0.34
    NetMessage
    -0.34
     Sear
    -0.33
    talk
    -0.32
     Planes
    -0.32
     Precision
    -0.32
     PAT
    -0.32
    planes
    -0.31
    WAR
    -0.31
    POSITIVE LOGITS
    ocument
    0.43
    ividual
    0.40
    igible
    0.40
    iary
    0.39
    ulous
    0.39
    uously
    0.38
    umenthal
    0.37
    uable
    0.37
    ibly
    0.37
    ebted
    0.37
    Activations Density 3.246%

    No Known Activations