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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. 19286
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    Explanations

    contexts related to ambitions, goals, and aspirations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "become" and its variations

    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
    ongyang
    -0.83
    ramid
    -0.75
    ciating
    -0.71
    bell
    -0.70
    ength
    -0.70
    issue
    -0.69
    pressure
    -0.67
    inately
    -0.66
    minus
    -0.65
    orney
    -0.65
    POSITIVE LOGITS
     acquainted
    1.08
     accustomed
    1.06
     entangled
    0.99
     aware
    0.96
     embroiled
    0.96
     extinct
    0.86
     involved
    0.84
     disillusion
    0.84
     eligible
    0.84
     addicted
    0.83
    Activations Density 0.049%

    No Known Activations