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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. 4438
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    Explanations

    the word "odd" with variations in spelling, often with a significant activation value

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the word "od."

    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
     shorth
    -0.69
     Ago
    -0.67
     Leone
    -0.65
     Polo
    -0.64
     Isles
    -0.62
     Kaepernick
    -0.60
    UGE
    -0.60
     Barber
    -0.60
     Goat
    -0.60
     Tempest
    -0.60
    POSITIVE LOGITS
    yssey
    1.28
    iamond
    1.13
    wig
    1.05
    ragon
    1.05
    opter
    1.03
    amn
    1.00
    sworth
    1.00
    ata
    0.97
    iversity
    0.97
    ouble
    0.97
    Activations Density 0.016%

    No Known Activations