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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. 7367
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    Explanations

    historical references or events

    oai_token-act-pair · gpt-3.5-turbo

    references to historical contexts and events

    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
    lain
    -0.98
    ertodd
    -0.96
    nery
    -0.93
    DAQ
    -0.83
    liga
    -0.80
    ricular
    -0.79
    loo
    -0.78
    geon
    -0.78
    Flow
    -0.75
    igans
    -0.74
    POSITIVE LOGITS
     significance
    0.99
    orical
    0.95
    orically
    0.93
     revision
    0.90
     relics
    0.87
     preservation
    0.85
     precedent
    0.83
     preced
    0.82
     historians
    0.82
     monuments
    0.81
    Activations Density 0.025%

    No Known Activations