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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. 5-RES-JB
    6. 14318
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    INDEX
    Explanations

    phrases indicating importance or significance

    oai_token-act-pair · gpt-3.5-turbo

    the repeated use of the word "and" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    LOCK
    -0.72
    YP
    -0.71
    Ĥİ
    -0.70
    Shut
    -0.69
    uta
    -0.66
    STE
    -0.66
    è»
    -0.65
    Cub
    -0.64
    lace
    -0.63
    Els
    -0.62
    POSITIVE LOGITS
     hence
    1.40
     consequently
    1.35
     therefore
    1.35
     thus
    1.23
     secondly
    1.13
     furthermore
    1.04
     thereby
    1.02
     moreover
    1.00
     then
    0.94
     although
    0.93
    Activations Density 0.670%

    No Known Activations