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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. 4-RES-JB
    6. 5246
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    Explanations

    specific acronyms related to locations or organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to Kentucky and related technical acronyms

    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
    pell
    -0.78
    flies
    -0.78
    ile
    -0.75
    pan
    -0.74
    chance
    -0.73
    plane
    -0.72
    icing
    -0.71
    instance
    -0.71
    illa
    -0.70
    ilia
    -0.69
    POSITIVE LOGITS
    KY
    1.05
    POL
    0.90
    OF
    0.90
    KE
    0.90
    NING
    0.90
    OD
    0.87
    TERN
    0.87
    DAY
    0.86
    OH
    0.85
     KY
    0.84
    Activations Density 0.020%

    No Known Activations