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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. 2173
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    Explanations

    references to a specific football team, the Raiders

    oai_token-act-pair · gpt-3.5-turbo

    references to the Raiders football team

    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
    ician
    -0.88
    itarian
    -0.77
    onymous
    -0.77
    ting
    -0.73
    istical
    -0.73
    ements
    -0.73
     Hume
    -0.70
    ties
    -0.69
    unin
    -0.69
    terson
    -0.69
    POSITIVE LOGITS
     Raiders
    1.34
    Raid
    1.13
     Athletics
    0.88
    heed
    0.81
     Raider
    0.78
    Jar
    0.77
     Coliseum
    0.74
    INGTON
    0.72
    Charg
    0.71
    Eye
    0.71
    Activations Density 0.009%

    No Known Activations