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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. 689
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    Explanations

    personal stories or recounts of experiences

    oai_token-act-pair · gpt-3.5-turbo

    stories of personal experiences and recounting events

    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
    icons
    -0.83
    Source
    -0.78
    wei
    -0.70
    hm
    -0.68
    ports
    -0.68
     Tradable
    -0.67
    heads
    -0.67
    pend
    -0.67
    casters
    -0.66
    tarians
    -0.65
    POSITIVE LOGITS
     harrowing
    1.45
     ordeal
    1.33
     firsthand
    1.27
     experiences
    1.25
     vividly
    1.18
     encounter
    1.17
     encounters
    1.12
     unforgettable
    1.09
     experience
    1.09
     traumatic
    1.08
    Activations Density 0.439%

    No Known Activations