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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    4. Residual Stream
    5. 2-RES-JB
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    Explanations

    references to the sports team "Raiders."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the "Raiders" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onymous
    -0.79
    orget
    -0.76
    ting
    -0.73
    ician
    -0.72
    mble
    -0.72
    itia
    -0.70
    ements
    -0.66
    gian
    -0.66
    ebin
    -0.63
    ablishment
    -0.63
    POSITIVE LOGITS
     Raiders
    1.40
    Raid
    1.08
     Athletics
    0.82
    Jar
    0.80
    esses
    0.79
     Raider
    0.78
    heed
    0.74
    Eye
    0.70
     Buccaneers
    0.70
    haw
    0.69
    Activations Density 0.006%

    No Known Activations