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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. 4-RES-JB
    11. 2454
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    Explanations

    numbers related to historical events or years

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical data or statistics related to the 1990s

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

    No Comments

    Negative Logits
    wan
    -0.84
    pocket
    -0.83
    hire
    -0.79
    mit
    -0.78
    ILY
    -0.76
    maid
    -0.75
    motion
    -0.74
    paralle
    -0.72
    opted
    -0.71
    plant
    -0.71
    POSITIVE LOGITS
    ĨĴ
    0.80
    uration
    0.75
    zsche
    0.71
     +++
    0.69
    olini
    0.69
    atile
    0.67
    orsi
    0.66
    aire
    0.66
    ative
    0.66
    ancy
    0.65
    Activations Density 0.039%

    No Known Activations