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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. 1-RES-JB
    11. 24118
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    Explanations

    mentions of the word "ang"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of orangutans

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pwr
    -0.78
     isot
    -0.74
     Seym
    -0.73
    nesday
    -0.72
    merga
    -0.72
    earcher
    -0.68
    everal
    -0.65
    ngth
    -0.65
    ouple
    -0.65
     electroly
    -0.65
    POSITIVE LOGITS
    aroo
    1.14
    ang
    1.03
    angs
    1.00
    etsu
    1.00
    lia
    0.86
    bang
    0.85
    lers
    0.83
    ethe
    0.83
    yang
    0.83
    gang
    0.79
    Activations Density 0.013%

    No Known Activations