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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 9-RES-JB
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    references to the back seat of vehicles

    oai_token-act-pair · gpt-3.5-turbo

    references to the "back" of vehicles

    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
    avorite
    -0.73
    _-
    -0.69
    éĹĺ
    -0.68
     Samoa
    -0.65
     VIDEOS
    -0.63
    edIn
    -0.62
    upon
    -0.62
    theless
    -0.61
    inventoryQuantity
    -0.61
    DCS
    -0.61
    POSITIVE LOGITS
    seat
    1.20
     seat
    1.09
    woods
    1.06
    side
    1.01
     porch
    0.99
    country
    0.96
     door
    0.93
     window
    0.89
     yard
    0.86
    waters
    0.86
    Activations Density 0.046%

    No Known Activations