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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
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    Explanations

    references to names with the prefix "Pet"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Pet" in various forms

    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
    éĹĺ
    -0.83
    xual
    -0.80
    hirt
    -0.73
     PUBLIC
    -0.73
    IDER
    -0.71
    hower
    -0.70
     Reson
    -0.70
    terday
    -0.68
    ģĸ
    -0.68
    BILITIES
    -0.67
    POSITIVE LOGITS
    ertodd
    1.35
    rov
    1.08
    pet
    1.05
    roleum
    1.04
    unia
    1.00
    itions
    0.99
    rol
    0.96
    terson
    0.95
    lyak
    0.94
    rified
    0.92
    Activations Density 0.008%

    No Known Activations