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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. 9714
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    Explanations

    references to storage spaces or containers, such as closets and drawers

    oai_token-act-pair · gpt-3.5-turbo

    references to storage spaces like closets and drawers

    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
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    Negative Logits
    vati
    -0.81
    uana
    -0.70
    urai
    -0.68
    HCR
    -0.68
    conom
    -0.68
    odic
    -0.67
    Downloadha
    -0.67
    nesty
    -0.67
    onso
    -0.65
    iva
    -0.64
    POSITIVE LOGITS
     closet
    1.26
    pedia
    0.87
    rities
    0.75
    soDeliveryDate
    0.74
    bryce
    0.73
    æĥ
    0.72
    ed
    0.71
     basement
    0.68
     cleaners
    0.67
    nuts
    0.67
    Activations Density 0.009%

    No Known Activations