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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. 16995
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    INDEX
    Explanations

    terms related to physical heaviness or weight

    oai_token-act-pair · gpt-3.5-turbo

    references to "heavy" objects or concepts related to significant weight or intensity

    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
    DragonMagazine
    -0.82
     Machina
    -0.80
    çīĪ
    -0.78
    otiation
    -0.77
    icho
    -0.75
    ades
    -0.73
    etts
    -0.72
    arthed
    -0.72
    duction
    -0.71
    isphere
    -0.71
    POSITIVE LOGITS
    weights
    1.63
    weight
    1.21
     hitters
    1.15
     hitter
    1.14
     duty
    1.08
     lifting
    1.07
     weights
    1.01
    metal
    0.92
    hearted
    0.92
     weight
    0.92
    Activations Density 0.027%

    No Known Activations