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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. 20851
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    Explanations

    references to the pharmaceutical company "Merck"

    oai_token-act-pair · gpt-3.5-turbo

    references to the company Merck

    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
    »Ĵ
    -0.71
     Eleven
    -0.64
     Defendants
    -0.63
     Piercing
    -0.63
     Survivors
    -0.63
     Âł Âł Âł Âł Âł Âł Âł Âł
    -0.61
    ¬¼
    -0.60
     IMAGES
    -0.60
     Islands
    -0.59
     Decay
    -0.59
    POSITIVE LOGITS
    seys
    1.14
    cedes
    1.11
    lins
    1.00
    ril
    0.94
    itism
    0.94
    lyn
    0.92
    rill
    0.92
    ged
    0.91
    itor
    0.90
    maid
    0.88
    Activations Density 0.007%

    No Known Activations