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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. 16083
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    Explanations

    news articles or stories

    oai_token-act-pair · gpt-3.5-turbo

    references to ongoing or unfinished stories in a narrative context

    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
    orpor
    -0.72
    agall
    -0.70
    İĭ
    -0.69
    essage
    -0.69
     stocking
    -0.69
    missible
    -0.66
     denomin
    -0.64
     retirees
    -0.64
     congreg
    -0.64
    ikini
    -0.64
    POSITIVE LOGITS
     Story
    1.00
    telling
    0.96
     Stories
    0.85
    bold
    0.83
     Transcript
    0.82
    Maker
    0.80
    Story
    0.80
    story
    0.76
     Ideas
    0.76
     Continued
    0.73
    Activations Density 0.016%

    No Known Activations