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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. 8-RES-JB
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    Explanations

    the word "Jacob"

    oai_token-act-pair · gpt-3.5-turbo

    the name "Jacob" in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ributed
    -0.77
     secretary
    -0.76
    arily
    -0.70
    CONT
    -0.70
    cipl
    -0.69
    earable
    -0.65
    atics
    -0.62
    ributes
    -0.62
    ribute
    -0.62
    eval
    -0.62
    POSITIVE LOGITS
    sen
    1.17
    son
    1.14
    lyn
    1.00
    antine
    0.90
    ison
    0.89
     Jav
    0.88
    sson
    0.86
     Ri
    0.83
    iton
    0.83
    Jacob
    0.80
    Activations Density 0.022%

    No Known Activations