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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. 11-RES-JB
    11. 21830
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    Explanations

    references to individuals in leadership roles

    oai_token-act-pair · gpt-3.5-turbo

    references to head coaches in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Parenthood
    -0.68
     Nightmares
    -0.64
     Passage
    -0.59
     Brotherhood
    -0.57
     Niet
    -0.57
    ashtra
    -0.56
     autos
    -0.56
    illation
    -0.56
     Mub
    -0.56
    Sov
    -0.55
    POSITIVE LOGITS
    liners
    1.22
    lining
    1.18
    liner
    1.13
    hunter
    1.08
    hun
    1.08
    canon
    1.00
    stones
    0.99
    shots
    0.99
    wind
    0.99
    quartered
    0.99
    Activations Density 0.027%

    No Known Activations