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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. 18158
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    Explanations

    names of famous or notable individuals

    oai_token-act-pair · gpt-3.5-turbo

    prominent names or entities in 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
    £ı
    -0.71
    ĸļ
    -0.71
     pse
    -0.64
    lished
    -0.61
     actionGroup
    -0.61
     Subtle
    -0.58
    mble
    -0.57
    etheless
    -0.56
     [+
    -0.56
     Leilan
    -0.55
    POSITIVE LOGITS
    aug
    0.61
    á
    0.58
    Con
    0.53
    ussia
    0.53
    Äģ
    0.52
    Fest
    0.52
    Coin
    0.52
    inton
    0.51
    opoly
    0.51
    insert
    0.48
    Activations Density 0.782%

    No Known Activations