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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. 4-RES-JB
    11. 14251
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    Explanations

    **Dr.** followed by a name, indicating a reference to medical professionals

    oai_token-act-pair · gpt-3.5-turbo

    references to medical professionals or doctors

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

    No Comments

    Negative Logits
     actionGroup
    -0.82
     chorus
    -0.77
    LOAD
    -0.69
    VALUE
    -0.68
    âĶģ
    -0.65
    ãĤ¤ãĥĪ
    -0.65
     âĺħ
    -0.63
     potatoes
    -0.63
    Laughs
    -0.63
    OPA
    -0.63
    POSITIVE LOGITS
    umin
    1.07
    inker
    1.03
    inking
    0.98
    inks
    0.96
    ifts
    0.94
    iggins
    0.92
    udge
    0.92
    herty
    0.91
    agic
    0.90
    edes
    0.90
    Activations Density 0.015%

    No Known Activations