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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. 17910
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    Explanations

    the occurrence of the term "York" in various contexts

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

    mentions of the location "York" with varying levels of specificity

    oai_token-act-pair · gpt-3.5-turbo
    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
    cius
    -0.79
    ña
    -0.72
    aeda
    -0.71
    ebus
    -0.70
     Bezos
    -0.68
    itures
    -0.67
    cedes
    -0.65
    Oracle
    -0.64
    phrine
    -0.64
     careful
    -0.62
    POSITIVE LOGITS
    mares
    1.07
    dale
    0.99
    town
    0.98
    mont
    0.90
    bean
    0.82
    ville
    0.79
    edge
    0.77
    burgh
    0.76
    mun
    0.74
    onne
    0.74
    Activations Density 0.015%

    No Known Activations