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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 2-RES-JB
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    Explanations

    mentions of the city of Canberra

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Canberra and related entities

    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
     Neighbor
    -0.71
    retched
    -0.70
    Sav
    -0.70
    velt
    -0.68
    Moh
    -0.66
    Magikarp
    -0.66
    ICAN
    -0.64
     holiest
    -0.63
    Faith
    -0.62
    cond
    -0.62
    POSITIVE LOGITS
    ategory
    0.90
    berra
    0.89
    icum
    0.84
     Canberra
    0.82
    uckland
    0.80
    ayson
    0.78
    orously
    0.77
    cffff
    0.75
    abin
    0.74
    acly
    0.71
    Activations Density 0.021%

    No Known Activations