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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 10313
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    Explanations

    words related to emphasizing or highlighting the importance of something

    oai_token-act-pair · gpt-3.5-turbo

    expressions emphasizing the concept of importance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ogether
    -0.66
    upt
    -0.64
    Methods
    -0.63
     Wonderland
    -0.63
    rooms
    -0.62
    wagen
    -0.60
    steen
    -0.59
    zilla
    -0.58
    apons
    -0.58
    eez
    -0.58
    POSITIVE LOGITS
    lessness
    1.02
     importance
    0.96
     factor
    0.82
     attaches
    0.79
     attached
    0.77
     of
    0.76
     inherent
    0.73
     placed
    0.71
    ributed
    0.69
     attaching
    0.69
    Activations Density 0.037%

    No Known Activations