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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. 14480
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    Explanations

    event details such as timings, locations, and activities

    oai_token-act-pair · gpt-3.5-turbo
    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
    osate
    -0.82
     inheritance
    -0.81
     wrongly
    -0.80
     inherit
    -0.77
     billions
    -0.76
     misplaced
    -0.75
     unearthed
    -0.75
    ģĸ
    -0.74
    psons
    -0.74
    failed
    -0.73
    POSITIVE LOGITS
    Tickets
    1.30
     Tickets
    1.21
     Doors
    1.16
     TBA
    1.11
     Directions
    1.05
     Admission
    1.04
     Participants
    1.03
     Guests
    1.03
     EVENT
    1.03
     Starts
    0.98
    Activations Density 0.669%

    No Known Activations