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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. 695
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    Explanations

    prepositions followed by a noun phrase

    oai_token-act-pair · gpt-3.5-turbo

    blank spaces or lack of content

    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
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    Negative Logits
     destro
    -0.70
     vulner
    -0.69
     arrang
    -0.65
    wcs
    -0.63
     challeng
    -0.62
    wagon
    -0.62
    ãĥ¼ãĥĨ
    -0.62
    aturdays
    -0.61
     corrid
    -0.61
    oppable
    -0.61
    POSITIVE LOGITS
     Fired
    0.59
     Allaah
    0.59
     âĵĺ
    0.55
     largeDownload
    0.55
     Sina
    0.54
     Aviation
    0.52
     Released
    0.51
     Abandon
    0.51
     Islam
    0.51
     Radiation
    0.50
    Activations Density 0.375%

    No Known Activations