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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 15533
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    Explanations

    proper nouns related to a specific location, possibly a city or company name

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of Cupertino

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hips
    -0.81
    âķIJâķIJ
    -0.71
     Turing
    -0.70
    manship
    -0.67
    eering
    -0.67
    lessly
    -0.66
    making
    -0.65
    sight
    -0.65
    wagen
    -0.65
     Aid
    -0.64
    POSITIVE LOGITS
    isine
    1.59
    illin
    1.01
    untu
    0.97
    PLIC
    0.96
    isin
    0.95
    entric
    0.94
    incinn
    0.92
    adra
    0.92
    vette
    0.90
    adr
    0.90
    Activations Density 0.017%

    No Known Activations