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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. 9710
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    specific times of events

    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
    enegger
    -0.77
     Definitive
    -0.74
    igham
    -0.68
     remnant
    -0.66
    Reviewer
    -0.66
    alog
    -0.63
    hesive
    -0.60
    hiba
    -0.60
    imaru
    -0.58
    alogy
    -0.57
    POSITIVE LOGITS
    pm
    1.22
    noon
    1.15
     noon
    1.06
     pm
    1.02
     hours
    0.96
    PM
    0.96
    aturdays
    0.93
     hour
    0.93
     hrs
    0.91
    ½
    0.91
    Activations Density 0.117%

    No Known Activations