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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. 6847
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    INDEX
    Explanations

    words related to issues, challenges, or difficulties

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of problems and difficulties

    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
    alty
    -0.73
    glass
    -0.72
    tein
    -0.71
    rib
    -0.70
    oliberal
    -0.68
    theless
    -0.68
    ographies
    -0.68
    ron
    -0.68
    VO
    -0.68
    bern
    -0.67
    POSITIVE LOGITS
     plag
    1.17
    hooting
    1.14
     stemming
    0.85
     affecting
    0.84
     problems
    0.84
    hift
    0.84
    etting
    0.77
     disadvant
    0.75
     troubles
    0.74
     confronting
    0.74
    Activations Density 0.045%

    No Known Activations