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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. 3-RES-JB
    6. 18795
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    Explanations

    references to the city of Birmingham

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of Birmingham

    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
    afort
    -0.85
    ivot
    -0.79
    sth
    -0.73
    oward
    -0.72
    ential
    -0.70
    cess
    -0.70
    SHIP
    -0.69
    UAL
    -0.69
    entially
    -0.68
    uador
    -0.67
    POSITIVE LOGITS
    mingham
    1.17
     accents
    0.81
    mouth
    0.80
    shire
    0.80
    keley
    0.79
    thouse
    0.77
     Blitz
    0.76
    ©¶æ¥µ
    0.71
    sburg
    0.71
     Yard
    0.70
    Activations Density 0.007%

    No Known Activations