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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. 7778
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    Explanations

    mentions of future events or occurrences

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating future events or time references

    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
    baugh
    -0.74
    ocker
    -0.70
     Feldman
    -0.68
    ordes
    -0.67
    enance
    -0.65
    ini
    -0.63
    lee
    -0.63
     Ãĸ
    -0.61
    bred
    -0.60
    hess
    -0.60
    POSITIVE LOGITS
     week
    1.06
     month
    0.96
     year
    0.91
    ĻĤ
    0.87
     semester
    0.87
     generation
    0.81
     door
    0.80
     generations
    0.79
     decade
    0.79
     yr
    0.77
    Activations Density 0.033%

    No Known Activations