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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. 9-RES-JB
    11. 13128
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    Explanations

    phrases related to duration or time periods

    oai_token-act-pair · gpt-3.5-turbo

    phrases that reference extended time periods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enf
    -0.69
    Inside
    -0.65
    odder
    -0.63
    behind
    -0.62
    Behind
    -0.60
    uala
    -0.59
    cca
    -0.59
     Column
    -0.59
    osite
    -0.59
     Violet
    -0.58
    POSITIVE LOGITS
     period
    1.10
     span
    1.02
     millennia
    0.92
    period
    0.90
     timeframe
    0.88
     periods
    0.85
    arching
    0.84
     weekend
    0.84
     lifespan
    0.84
     decades
    0.83
    Activations Density 0.135%

    No Known Activations