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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. 7-RES-JB
    11. 9755
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    Explanations

    words related to structures or processes that have been edited or modified in some way

    oai_token-act-pair · gpt-3.5-turbo

    words related to addiction or dependency

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Story
    -0.72
     Kou
    -0.68
    unity
    -0.63
     Nun
    -0.63
     Colt
    -0.62
     advertisers
    -0.60
     Starr
    -0.60
     sight
    -0.60
    fall
    -0.59
     Kenobi
    -0.59
    POSITIVE LOGITS
    uce
    1.21
    nesday
    1.18
    ict
    1.14
    monton
    1.14
    icts
    1.12
    uct
    1.10
    uctive
    1.10
    gew
    1.06
    inburgh
    1.00
    aily
    0.99
    Activations Density 0.052%

    No Known Activations