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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. 12376
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    Explanations

    phrases related to progress, improvement, or advancement

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating progress and direction towards improvement or evolution

    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
    nces
    -0.88
    onyms
    -0.80
    aze
    -0.75
    aults
    -0.74
    videos
    -0.73
    uesday
    -0.71
    Submit
    -0.71
    wine
    -0.71
     prevailed
    -0.71
    omever
    -0.69
    POSITIVE LOGITS
     saga
    1.07
     evolution
    1.06
     history
    0.94
     progression
    0.86
     quest
    0.86
     deepening
    0.83
     development
    0.82
     timeline
    0.82
     unfolding
    0.81
     countdown
    0.81
    Activations Density 0.143%

    No Known Activations