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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. 6069
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    Explanations

    instances of unexpected events or actions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "something" across various contexts

    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
    ortex
    -0.90
    querade
    -0.79
    iff
    -0.78
    DOS
    -0.78
    igon
    -0.74
    del
    -0.71
    de
    -0.69
    itri
    -0.69
    andise
    -0.68
    ivery
    -0.67
    POSITIVE LOGITS
     else
    1.28
    Else
    1.18
     unheard
    0.89
     akin
    0.88
     Else
    0.83
     sorely
    0.75
     shameful
    0.70
     unthinkable
    0.70
     we
    0.67
     unforeseen
    0.66
    Activations Density 0.032%

    No Known Activations