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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. 6553
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    Explanations

    phrases related to intensity or extreme situations

    oai_token-act-pair · gpt-3.5-turbo

    extreme adjectives describing situations or conditions

    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
    zsche
    -0.62
    Ô
    -0.60
    oria
    -0.54
     detrim
    -0.52
    ighth
    -0.52
     encour
    -0.51
    cember
    -0.51
    å¦
    -0.51
    aster
    -0.51
    pheus
    -0.50
    POSITIVE LOGITS
     that
    1.04
     they
    0.90
    that
    0.88
     it
    0.80
    they
    0.74
    rained
    0.74
     THAT
    0.69
    iated
    0.69
    itaire
    0.67
    ially
    0.67
    Activations Density 0.160%

    No Known Activations