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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. 23690
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    Explanations

    locations or places

    oai_token-act-pair · gpt-3.5-turbo

    words related to locations and institutions, particularly "Bellevue," "Burlington," and quantities associated with events

    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
    rer
    -0.95
    rers
    -0.82
    rogram
    -0.80
    eering
    -0.77
    der
    -0.77
    elin
    -0.76
    rent
    -0.74
    ept
    -0.74
    yers
    -0.74
    afort
    -0.73
    POSITIVE LOGITS
    é¾
    0.91
     BMC
    0.77
    ensical
    0.76
    udeau
    0.73
    éļ
    0.72
     Haram
    0.71
     waterways
    0.71
     Infinite
    0.70
     Courier
    0.70
     Companion
    0.67
    Activations Density 0.038%

    No Known Activations