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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. 12170
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to 360-degree content or experiences

    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
    nell
    -0.89
    geist
    -0.83
    alg
    -0.77
    minist
    -0.75
    ems
    -0.74
    mal
    -0.73
    notation
    -0.73
    ãĤ°
    -0.73
    prises
    -0.72
    ahime
    -0.71
    POSITIVE LOGITS
    °
    1.12
     degrees
    0.91
     360
    0.89
    º
    0.87
     Deg
    0.79
    360
    0.78
     Degree
    0.70
    ĺħ
    0.68
    deg
    0.67
     deg
    0.66
    Activations Density 0.015%

    No Known Activations