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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. 12-RES-JB
    11. 3270
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    Explanations

    names of individuals related to sports, such as players and managers

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    names of notable football players and managers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stone
    -0.83
    ril
    -0.78
    medium
    -0.73
    bridge
    -0.72
    baugh
    -0.71
    rage
    -0.70
    ryn
    -0.67
    wright
    -0.65
    law
    -0.65
    landish
    -0.64
    POSITIVE LOGITS
     Kou
    0.66
    quickShipAvailable
    0.66
     Ou
    0.65
     Viet
    0.63
     Ferdinand
    0.60
    Ku
    0.59
     CLSID
    0.59
    ruciating
    0.57
     Tuls
    0.57
     Santos
    0.57
    Activations Density 0.130%

    No Known Activations