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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. 3238
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    Explanations

    words related to plans, schedules, and future directions

    oai_token-act-pair · gpt-3.5-turbo

    references to project planning and development timelines

    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
    chester
    -0.82
    nery
    -0.79
    aina
    -0.78
    hiro
    -0.74
    picking
    -0.74
    kus
    -0.73
    anton
    -0.72
    ton
    -0.70
    avery
    -0.70
    rin
    -0.69
    POSITIVE LOGITS
     roadmap
    1.19
     Ahead
    0.83
     outline
    0.81
     blueprint
    0.79
    catentry
    0.79
     formulation
    0.76
     timetable
    0.74
    MSN
    0.69
     progression
    0.69
     directions
    0.67
    Activations Density 0.012%

    No Known Activations