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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. 1-RES-JB
    11. 21501
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    Explanations

    proper nouns, specifically names related to various contexts such as sports, politics, and relationships

    oai_token-act-pair · gpt-3.5-turbo

    terms related to power, authority, or control

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    paio
    -0.66
    odor
    -0.65
    ravel
    -0.62
     seasoning
    -0.62
     reinforcement
    -0.59
     earth
    -0.56
     snap
    -0.56
    rg
    -0.55
    urg
    -0.55
    eb
    -0.54
    POSITIVE LOGITS
    ower
    1.43
    owers
    1.15
    loo
    0.87
    sonian
    0.83
    lein
    0.82
    atives
    0.80
    lets
    0.78
    izont
    0.77
    OWER
    0.76
    sburg
    0.76
    Activations Density 0.005%

    No Known Activations