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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. 4-RES-JB
    11. 18413
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    Explanations

    phrases related to abstract concepts like senses, feelings, and perceptions

    oai_token-act-pair · gpt-3.5-turbo

    the concept of "sense" in various contexts, particularly relating to awareness and community perception

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

    No Comments

    Negative Logits
    nces
    -0.77
    aughters
    -0.75
    orously
    -0.70
    iaries
    -0.67
     Aviv
    -0.67
    ctors
    -0.66
    onent
    -0.65
    nets
    -0.65
    nsic
    -0.62
     Cosponsors
    -0.62
    POSITIVE LOGITS
     humor
    0.86
     humour
    0.83
     warmth
    0.80
     urgency
    0.78
     realism
    0.75
     disson
    0.75
     nostalgia
    0.74
     discrimination
    0.74
     optimism
    0.73
     morality
    0.73
    Activations Density 0.147%

    No Known Activations