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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. 3-RES-JB
    6. 19742
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    Explanations

    words or phrases related to significant events or moments

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Ig" or variations thereof

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.76
    £ı
    -0.71
    ãĥ¯ãĥ³
    -0.71
     Sussex
    -0.68
     Sov
    -0.66
     Despair
    -0.64
    ĺħ
    -0.63
     Alban
    -0.63
    theless
    -0.63
    etheless
    -0.63
    POSITIVE LOGITS
    gy
    1.18
    gers
    1.18
    abyte
    1.13
    ga
    1.10
    inning
    1.07
    arette
    1.06
    ging
    1.05
    arettes
    1.04
    ames
    1.02
    wig
    1.02
    Activations Density 0.016%

    No Known Activations