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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. 2851
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    Explanations

    terms related to influential or notable figures across various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to prominent individuals or influential figures

    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
    velength
    -0.78
    é¾
    -0.75
    cyclopedia
    -0.73
    tnc
    -0.73
    ruciating
    -0.69
    veyard
    -0.69
    artment
    -0.68
    umenthal
    -0.68
    bey
    -0.66
    IFE
    -0.66
    POSITIVE LOGITS
    head
    0.88
     prominently
    0.86
     skating
    0.85
    heads
    0.83
     figure
    0.82
    enance
    0.82
    doms
    0.80
    maker
    0.76
    aced
    0.72
     figures
    0.72
    Activations Density 0.018%

    No Known Activations