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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. 7-RES-JB
    11. 21813
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    Explanations

    dates and events

    oai_token-act-pair · gpt-3.5-turbo

    instances of significant events or actions being reported

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inav
    -0.77
    ILE
    -0.61
     subset
    -0.61
    must
    -0.61
     envy
    -0.58
    âĺ
    -0.58
     astronomy
    -0.57
    anto
    -0.57
     sums
    -0.57
     retains
    -0.56
    POSITIVE LOGITS
     aired
    0.94
     finalized
    0.93
     circulated
    0.91
     underway
    0.91
     released
    0.87
     happening
    0.86
     presented
    0.83
     publicized
    0.83
     implemented
    0.81
     unveiled
    0.80
    Activations Density 0.319%

    No Known Activations