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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. 7-RES-JB
    11. 14398
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    Explanations

    repeated mentions of "World War" with varying intensity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    phrases related to historical events, particularly World War II

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    obook
    -0.73
    OGR
    -0.71
    */(
    -0.69
    Asset
    -0.63
    ITY
    -0.62
    kef
    -0.61
    romeda
    -0.59
     encoding
    -0.59
    uckland
    -0.58
     KE
    -0.57
    POSITIVE LOGITS
    lords
    1.01
    lord
    1.00
     II
    0.85
    bler
    0.85
     III
    0.79
    fare
    0.79
    orthy
    0.78
    riors
    0.78
    ombat
    0.78
     Patton
    0.76
    Activations Density 0.019%

    No Known Activations