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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. 10-RES-JB
    11. 5201
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    INDEX
    Explanations

    phrases related to taking action or causing an effect

    oai_token-act-pair · gpt-3.5-turbo

    references to performances or presentations that involve artistic expressions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kamp
    -0.79
    rav
    -0.77
    reement
    -0.73
    ord
    -0.72
    asio
    -0.71
    Emer
    -0.71
    manship
    -0.71
    Lev
    -0.70
    venants
    -0.69
    haw
    -0.69
    POSITIVE LOGITS
     SOME
    0.76
    some
    0.74
     Roz
    0.72
     some
    0.71
     sprite
    0.71
     slice
    0.69
     var
    0.69
     lvl
    0.68
     tc
    0.66
     ss
    0.66
    Activations Density 0.192%

    No Known Activations