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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. 2-RES-JB
    11. 18847
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    Explanations

    minerals or materials

    oai_token-act-pair · gpt-3.5-turbo

    words related to chemical compounds and substances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     GOODMAN
    -0.78
    iator
    -0.75
    ijah
    -0.75
    raints
    -0.74
    aii
    -0.74
    aline
    -0.74
    aiman
    -0.71
    iar
    -0.71
    ileaks
    -0.71
    rican
    -0.70
    POSITIVE LOGITS
    chnology
    1.03
    lda
    0.98
    lli
    0.91
    ller
    0.86
    llo
    0.84
    cht
    0.82
    xual
    0.81
    zza
    0.79
    acht
    0.77
    gger
    0.75
    Activations Density 0.029%

    No Known Activations