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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. 7-RES-JB
    11. 14575
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    Explanations

    prepositions followed by articles

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "the."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iffe
    -0.76
    eno
    -0.71
    rade
    -0.69
    thood
    -0.69
    leeve
    -0.69
    rage
    -0.68
    earch
    -0.67
    imi
    -0.65
    ceive
    -0.63
    aba
    -0.62
    POSITIVE LOGITS
     latter
    1.26
    oret
    1.18
     fastest
    1.14
     biggest
    1.13
     longest
    1.12
     slightest
    1.11
     largest
    1.11
     heaviest
    1.10
     smallest
    1.09
     same
    1.08
    Activations Density 0.231%

    No Known Activations