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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. 10-RES-JB
    11. 7144
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    Explanations

    positive comments or reviews about various subjects

    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 @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chnology
    -0.79
    sten
    -0.78
    mber
    -0.76
     Retrieved
    -0.70
    iatus
    -0.69
    ãĥ¯ãĥ³
    -0.68
    rius
    -0.68
    soDeliveryDate
    -0.67
    enge
    -0.67
    ebin
    -0.66
    POSITIVE LOGITS
     albeit
    1.41
     except
    1.27
     although
    1.25
     despite
    1.16
     though
    1.10
     but
    1.09
     thanks
    1.06
    albeit
    1.06
     regardless
    1.00
     irrespective
    0.96
    Activations Density 0.364%

    No Known Activations