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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. 2932
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    Explanations

    the word "monolog" or similar variations with different levels of activation

    oai_token-act-pair · gpt-3.5-turbo

    words related to various fields of study, particularly focusing on aspects of "logic" and "analogies."

    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
    plan
    -0.63
    noon
    -0.62
     uncond
    -0.60
    words
    -0.60
     EAR
    -0.60
    eff
    -0.59
    FACE
    -0.58
    FUL
    -0.58
    affe
    -0.58
    kins
    -0.57
    POSITIVE LOGITS
    ues
    1.78
    raphic
    1.24
    uing
    1.20
    raph
    1.18
    rams
    1.16
    ued
    1.16
    ous
    1.10
    etics
    1.07
    ical
    1.06
    etic
    1.06
    Activations Density 0.104%

    No Known Activations