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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. 11-RES-JB
    11. 22224
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    Explanations

    phrases indicating a comparison or contrast between different scenarios

    oai_token-act-pair · gpt-3.5-turbo

    references to specific cases and contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arus
    -0.59
    paio
    -0.57
    zens
    -0.56
    elta
    -0.56
    orously
    -0.56
    atten
    -0.55
    arde
    -0.54
    nova
    -0.53
    nesia
    -0.52
    ierce
    -0.51
    POSITIVE LOGITS
     of
    0.91
     outlined
    0.73
     thereof
    0.69
     portrayed
    0.67
     alluded
    0.67
     quo
    0.65
     discussed
    0.64
     OF
    0.64
     where
    0.64
    forts
    0.63
    Activations Density 0.139%

    No Known Activations