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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. 11-RES-JB
    11. 12738
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    Explanations

    prepositions followed by a proper noun

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "In" indicating new sections or points being made in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    :/
    -0.69
    acid
    -0.68
    ylum
    -0.68
     unemploy
    -0.64
     ®
    -0.63
     looms
    -0.63
     enthusi
    -0.63
    lot
    -0.61
     Rohing
    -0.60
    communications
    -0.60
    POSITIVE LOGITS
     addition
    1.33
     fact
    1.16
    juries
    1.15
     essence
    1.15
    cluded
    1.14
    clusion
    1.11
    ev
    1.10
    cluding
    1.09
    itialized
    1.08
    expensive
    1.05
    Activations Density 0.106%

    No Known Activations