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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. 4-RES-JB
    11. 2513
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    Explanations

    dates expressed in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    dates and timestamps in various formats

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

    No Comments

    Negative Logits
    inyl
    -0.76
    phia
    -0.65
     expansion
    -0.65
     Illum
    -0.61
    uliffe
    -0.61
     cradle
    -0.59
    ourge
    -0.58
    yne
    -0.57
     indifference
    -0.57
     expanding
    -0.57
    POSITIVE LOGITS
    bart
    0.80
    08
    0.79
    07
    0.79
    batch
    0.77
    09
    0.76
    04
    0.74
    05
    0.74
    0010
    0.74
    01
    0.73
    0002
    0.72
    Activations Density 0.053%

    No Known Activations