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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. 21984
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    INDEX
    Explanations

    locations and statistical information

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "in" indicating various contexts or categories

    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
    soever
    -0.97
    past
    -0.66
     thou
    -0.65
    bass
    -0.65
    rang
    -0.65
    ï¸ı
    -0.65
     ens
    -0.64
    River
    -0.63
    pill
    -0.63
     flaw
    -0.63
    POSITIVE LOGITS
     terms
    1.23
     regards
    1.13
     regard
    1.07
    ventory
    0.88
    roads
    0.87
     spite
    0.87
     vitro
    0.86
     favor
    0.85
    clus
    0.84
     attendance
    0.84
    Activations Density 0.231%

    No Known Activations