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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. 4053
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    Explanations

    references to telephone conversations

    oai_token-act-pair · gpt-3.5-turbo

    references to phone conversations or interactions

    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
    Not in Any Lists

    No Comments

    Negative Logits
    rix
    -0.83
    hov
    -0.69
    riks
    -0.67
    urities
    -0.67
    Marginal
    -0.67
    ËĪ
    -0.66
    issue
    -0.65
    ansson
    -0.65
    inst
    -0.65
    alid
    -0.65
    POSITIVE LOGITS
     phones
    1.00
    ysis
    0.98
    phones
    0.94
     handset
    0.92
     phone
    0.85
     charger
    0.79
     booths
    0.79
    phone
    0.77
    gap
    0.76
     contacts
    0.76
    Activations Density 0.020%

    No Known Activations