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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. 6-RES-JB
    11. 1543
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    Explanations

    words related to a specific term "Azarian"

    oai_token-act-pair · gpt-3.5-turbo

    the repeated mention of the term "Kaz," likely referencing a specific name or entity within a social or political context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Seah
    -0.71
    nces
    -0.70
     Fargo
    -0.68
     foremost
    -0.67
    itures
    -0.65
     Norn
    -0.64
     Carolina
    -0.62
     Kepler
    -0.62
     Impossible
    -0.61
    ACTED
    -0.61
    POSITIVE LOGITS
    ombie
    1.10
    hou
    1.09
    hang
    1.00
    quez
    0.95
    arro
    0.94
    hur
    0.90
    ahar
    0.90
    awa
    0.87
    uki
    0.87
    eez
    0.87
    Activations Density 0.024%

    No Known Activations