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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. 8-RES-JB
    11. 887
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    Explanations

    locations or events related to historical or political significance

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly commas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    reprene
    -0.82
    eny
    -0.74
    eton
    -0.69
    uber
    -0.66
    irms
    -0.66
    thia
    -0.66
    eus
    -0.66
    enf
    -0.65
    ire
    -0.65
    ociate
    -0.65
    POSITIVE LOGITS
     wherein
    1.08
     culminating
    1.00
     which
    0.98
     where
    0.90
     whereby
    0.84
     marches
    0.77
    which
    0.76
     respectively
    0.76
     festivities
    0.75
     namely
    0.74
    Activations Density 0.395%

    No Known Activations