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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. 3-RES-JB
    11. 5517
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    Explanations

    learning-related keywords or phrases

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "learn" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abwe
    -0.67
    ordered
    -0.66
    adra
    -0.63
     tightly
    -0.61
    berus
    -0.61
    idium
    -0.59
    etheus
    -0.59
    iders
    -0.59
    pse
    -0.58
     earthqu
    -0.58
    POSITIVE LOGITS
    Lear
    0.96
    learn
    0.86
    llor
    0.84
     Teach
    0.84
    Learning
    0.82
    Learn
    0.78
    fulness
    0.74
     Learn
    0.73
    æ©
    0.73
    çİĭ
    0.72
    Activations Density 0.025%

    No Known Activations