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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. 8517
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    Explanations

    technology-related terms

    oai_token-act-pair · gpt-3.5-turbo

    keywords associated with technology and electronic devices, particularly in relation to their societal implications

    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
    wise
    -0.71
     Icar
    -0.65
     Alps
    -0.65
    Finish
    -0.63
     Sop
    -0.62
    Relations
    -0.60
    BUG
    -0.59
     Ryder
    -0.59
     Mus
    -0.59
     Arche
    -0.58
    POSITIVE LOGITS
    paces
    1.30
    ervatives
    1.28
    hops
    1.24
    hips
    1.23
    hip
    1.21
    poons
    1.19
    pace
    1.16
    ynthesis
    1.09
    afety
    1.08
    ystem
    1.05
    Activations Density 0.345%

    No Known Activations