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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. 0-RES-JB
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    text related to rhinos or their horns

    oai_token-act-pair · gpt-3.5-turbo

    references to rhinoceroses and their conservation-related issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Kit
    -0.81
    Ware
    -0.75
     Keller
    -0.71
     Ware
    -0.71
     Cabin
    -0.70
    fman
    -0.69
     Hobby
    -0.69
    ession
    -0.68
    inki
    -0.66
    Bet
    -0.66
    POSITIVE LOGITS
     rh
    4.24
     rhy
    2.07
     Rhino
    1.85
     Rh
    1.77
    Rh
    1.71
    rh
    1.66
     gir
    1.12
     elephants
    1.08
     RH
    1.04
     anth
    1.03
    Activations Density 0.020%

    No Known Activations