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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. 2135
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    Explanations

    technology-related terms, particularly related to smartphones and electronics

    oai_token-act-pair · gpt-3.5-turbo

    references to capabilities associated with technology and legal structures

    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
    Not in Any Lists

    No Comments

    Negative Logits
    Movie
    -0.65
     Paran
    -0.64
    ãĥ³ãĤ¸
    -0.62
    Jet
    -0.61
    ãģ¯
    -0.60
     Krish
    -0.60
     Rats
    -0.60
    Chan
    -0.59
    ãĤ¹ãĥĪ
    -0.59
    gets
    -0.57
    POSITIVE LOGITS
     apiece
    1.00
     theirs
    0.80
    their
    0.72
     capability
    0.68
     equivalents
    0.67
     respectively
    0.66
     their
    0.65
     themselves
    0.65
     exclusively
    0.65
    they
    0.64
    Activations Density 0.747%

    No Known Activations