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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. 21009
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    Explanations

    phrases involving quoted sources or attributions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "The"

    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
     stagn
    -0.71
    loading
    -0.70
     endeav
    -0.68
    lication
    -0.67
     behalf
    -0.66
    thood
    -0.63
     slowing
    -0.63
     stopping
    -0.63
     recite
    -0.63
     beware
    -0.63
    POSITIVE LOGITS
    odor
    1.17
     Huffington
    1.11
     Economist
    1.10
     Hague
    1.10
    oret
    1.10
     Guardian
    1.07
    resa
    1.07
     Chronicle
    1.05
    atre
    1.02
     Week
    0.99
    Activations Density 0.067%

    No Known Activations