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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. 8-RES-JB
    11. 161
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    Explanations

    information related to durations expressed in time periods

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to individuals' milestones and progression in their careers or seasons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     miscar
    -0.73
    iots
    -0.70
     Ibid
    -0.68
     Satanic
    -0.63
     Errors
    -0.63
    insula
    -0.63
     duplication
    -0.62
     Terrorism
    -0.61
     executions
    -0.61
     Abuse
    -0.61
    POSITIVE LOGITS
     ninth
    0.83
     undrafted
    0.81
     averaging
    0.80
     teammates
    0.79
     rookie
    0.77
     squarely
    0.77
     unbeaten
    0.76
     rejuven
    0.76
    ESPN
    0.76
     flanked
    0.74
    Activations Density 0.462%

    No Known Activations