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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. 1611
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    Explanations

    university and college names

    oai_token-act-pair · gpt-3.5-turbo

    names of universities and educational institutions

    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
    eele
    -0.64
    ãĥķãĤ¡
    -0.62
    PLIED
    -0.62
    thumbnails
    -0.59
    ãĥķãĤ©
    -0.58
     .)
    -0.55
    È
    -0.54
    ––
    -0.54
    ãĤ¶
    -0.54
    piracy
    -0.53
    POSITIVE LOGITS
     srf
    0.58
    antam
    0.57
     Tags
    0.56
    anguage
    0.55
    vernight
    0.55
    oided
    0.54
    uterte
    0.53
    EVA
    0.53
    Ĥİ
    0.53
     practition
    0.53
    Activations Density 0.212%

    No Known Activations