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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. 17251
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    INDEX
    Explanations

    phrases related to lessons or teachings

    oai_token-act-pair · gpt-3.5-turbo

    reflections on personal experiences and memories

    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
    eers
    -0.62
    pires
    -0.61
     wills
    -0.60
    licts
    -0.60
    ulum
    -0.57
    mma
    -0.57
    cedes
    -0.57
    ceivable
    -0.56
     impunity
    -0.56
    Adds
    -0.55
    POSITIVE LOGITS
     watching
    1.19
     when
    1.10
     whilst
    1.09
     during
    1.07
     while
    1.01
     reading
    1.01
     listening
    0.99
     afterwards
    0.96
     afterward
    0.94
    when
    0.93
    Activations Density 0.386%

    No Known Activations