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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. 2-RES-JB
    6. 128
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    INDEX
    Explanations

    responses or reactions to stimuli or events

    oai_token-act-pair · gpt-3.5-turbo

    parts of the word "responding"

    oai_token-act-pair · gpt-4-turbo

    occurrences of the term "responding" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gling
    -0.78
    66666666
    -0.74
     whispers
    -0.72
     directions
    -0.72
     devils
    -0.69
    6666
    -0.69
     subt
    -0.66
     Galileo
    -0.65
    BALL
    -0.65
     caution
    -0.65
    POSITIVE LOGITS
    onding
    1.16
    Resp
    1.15
    onds
    1.07
    awn
    1.04
    onder
    0.94
    responsive
    0.92
    rha
    0.91
    umph
    0.90
    awei
    0.90
    TPPStreamerBot
    0.89
    Activations Density 0.005%

    No Known Activations