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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. 9-RES-JB
    11. 16541
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    INDEX
    Explanations

    expressions related to making an effort or working towards a goal

    oai_token-act-pair · gpt-3.5-turbo

    references to attempts or initiatives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soever
    -0.66
     Passage
    -0.62
     Britann
    -0.62
     Dealer
    -0.62
    electric
    -0.61
    osate
    -0.60
    oslov
    -0.59
    thur
    -0.59
     Wrap
    -0.58
     Klu
    -0.58
    POSITIVE LOGITS
     underway
    0.98
     effort
    0.97
     efforts
    0.95
     toward
    0.91
     undertaken
    0.86
    ments
    0.83
     aimed
    0.81
    mable
    0.79
     towards
    0.79
     futile
    0.78
    Activations Density 0.055%

    No Known Activations