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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. 19618
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    Explanations

    terms related to laundry services or activities

    oai_token-act-pair · gpt-3.5-turbo

    references to laundry services or laundry-related tasks

    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
    Not in Any Lists

    No Comments

    Negative Logits
    */(
    -0.91
    umar
    -0.85
     Flavoring
    -0.82
    ulhu
    -0.78
    alez
    -0.78
    obal
    -0.75
    itol
    -0.74
    odic
    -0.73
    cific
    -0.73
    olithic
    -0.72
    POSITIVE LOGITS
     laundry
    1.08
     basket
    0.81
     closet
    0.79
    tons
    0.79
    ©¶æ¥µ
    0.78
     baskets
    0.78
    robe
    0.76
     laund
    0.75
    stairs
    0.72
    yard
    0.70
    Activations Density 0.017%

    No Known Activations