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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. 6989
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    dates and related time references

    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
    idious
    -0.70
    Merit
    -0.65
     Palestin
    -0.60
     constitu
    -0.55
    sett
    -0.54
     parity
    -0.52
    Trend
    -0.51
    essional
    -0.49
     dispens
    -0.48
     Ital
    -0.48
    POSITIVE LOGITS
    flower
    0.83
     29
    0.83
     27
    0.81
     28
    0.77
     Fool
    0.73
     26
    0.73
     19
    0.73
    hew
    0.73
     31
    0.72
     23
    0.72
    Activations Density 0.067%

    No Known Activations