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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. 3-RES-JB
    11. 23587
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    Explanations

    mentions of "AHL," which likely indicates a focus on hockey-related content

    oai_token-act-pair · gpt-3.5-turbo

    terms related to hockey and the AHL (American Hockey League)

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sea
    -0.68
    metic
    -0.68
    egg
    -0.67
    sey
    -0.67
    quick
    -0.67
    inx
    -0.65
    osity
    -0.64
    mes
    -0.63
    atom
    -0.62
    eton
    -0.61
    POSITIVE LOGITS
     AHL
    0.92
    ESH
    0.82
    lehem
    0.75
    HL
    0.75
    ilitating
    0.74
    heastern
    0.71
    INESS
    0.71
    ournaments
    0.71
    HAHAHAHA
    0.70
     affiliate
    0.69
    Activations Density 0.009%

    No Known Activations