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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. 7-RES-JB
    6. 18235
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    INDEX
    Explanations

    phrases referring to solutions to problems or challenges

    oai_token-act-pair · gpt-3.5-turbo

    statements or arguments that assert what something is or is not

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    throp
    -0.90
    eor
    -0.86
    iates
    -0.70
     largeDownload
    -0.67
    dit
    -0.66
     bothers
    -0.64
     stump
    -0.64
     violates
    -0.62
     senses
    -0.62
     pains
    -0.60
    POSITIVE LOGITS
    olation
    0.94
     ALWAYS
    0.92
     not
    0.86
     always
    0.85
     NOT
    0.83
     definitely
    0.82
     undoubtedly
    0.82
     indeed
    0.80
     gonna
    0.80
     still
    0.80
    Activations Density 0.195%

    No Known Activations