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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. 9-RES-JB
    11. 19751
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    Explanations

    genes and cellular components related to biological processes

    oai_token-act-pair · gpt-3.5-turbo

    the presence of specific identifiers or markers in a scientific context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     lounge
    -0.89
     Franch
    -0.78
     Manor
    -0.76
     Grounds
    -0.74
    ruary
    -0.74
     wont
    -0.73
     Prohibition
    -0.73
     Rebels
    -0.72
     specials
    -0.71
     stra
    -0.71
    POSITIVE LOGITS
    oxic
    1.27
    ascular
    1.18
    RNA
    1.17
    otropic
    1.15
    oxin
    1.14
    ox
    1.13
    ucle
    1.12
    roph
    1.12
    amin
    1.11
    oxicity
    1.10
    Activations Density 0.345%

    No Known Activations