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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. 8-RES-JB
    11. 23899
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    Explanations

    words related to prototyping and practical implementation in technological contexts

    oai_token-act-pair · gpt-3.5-turbo

    words related to prototyping and stereotypes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Âł Âł Âł Âł
    -0.78
    IRO
    -0.69
    ULT
    -0.66
     Âł Âł Âł Âł Âł Âł Âł Âł
    -0.66
    USE
    -0.63
    VO
    -0.62
    avorite
    -0.61
    PROV
    -0.61
     Dakota
    -0.59
    VIS
    -0.59
    POSITIVE LOGITS
    ing
    1.35
    ical
    1.30
    atility
    1.14
    icons
    1.11
    itives
    1.08
    atile
    1.07
    emonium
    1.06
    eworks
    1.05
    itional
    1.03
    edIn
    1.02
    Activations Density 0.097%

    No Known Activations