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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. 7-RES-JB
    11. 21413
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    Explanations

    the word "Be" in different contexts and conjugations

    oai_token-act-pair · gpt-3.5-turbo

    the presence of the word "Be" in various contexts

    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
     glide
    -0.66
     firsthand
    -0.66
     Relief
    -0.65
     Ples
    -0.63
     hoops
    -0.62
     CONTROL
    -0.61
     portrait
    -0.61
     drift
    -0.61
     Comet
    -0.61
     orbit
    -0.60
    POSITIVE LOGITS
    hemoth
    1.34
    yond
    1.32
    arers
    1.23
    arer
    1.22
    ijing
    1.17
    aum
    1.15
    acons
    1.14
    arded
    1.13
    ech
    1.13
    ige
    1.09
    Activations Density 0.029%

    No Known Activations