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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. 10-RES-JB
    11. 8426
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    Explanations

    time-related phrases related to deadlines

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Soc
    -0.63
     Trafford
    -0.61
     Ott
    -0.59
    riel
    -0.56
    ffe
    -0.55
    rano
    -0.55
    Jr
    -0.55
     heights
    -0.54
     Encyclopedia
    -0.53
     Cir
    -0.53
    POSITIVE LOGITS
     elapsed
    0.95
     allotted
    0.89
     remaining
    0.86
     left
    0.82
     leftover
    0.81
    manship
    0.81
     downtime
    0.80
    duration
    0.78
     spare
    0.77
     hiatus
    0.75
    Activations Density 0.098%

    No Known Activations