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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. 23963
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    Explanations

    words related to medical conditions and health issues

    oai_token-act-pair · gpt-3.5-turbo

    words related to debris or remnants

    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
    ppo
    -0.67
     salv
    -0.66
     Remem
    -0.66
     reusable
    -0.66
     constitu
    -0.65
     Nun
    -0.65
    OIL
    -0.63
     Corvette
    -0.63
     suspense
    -0.62
     confidence
    -0.61
    POSITIVE LOGITS
    orf
    1.22
    ividual
    1.21
    ynamic
    1.21
    iary
    1.19
    aniel
    1.11
    ynam
    1.05
    roid
    1.05
    iaries
    1.04
    elta
    1.04
    etermin
    1.03
    Activations Density 0.055%

    No Known Activations