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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. 14464
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    phrases related to analysis, assessment, or evaluation

    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
    PF
    -0.59
    OUP
    -0.58
     suspended
    -0.58
     Jacqu
    -0.57
     Fitzpatrick
    -0.56
    activated
    -0.55
    atars
    -0.55
     freely
    -0.54
    untarily
    -0.54
     preferably
    -0.54
    POSITIVE LOGITS
     uptake
    0.77
     regards
    0.73
     regard
    0.69
     direction
    0.67
     storytelling
    0.65
     chops
    0.64
     dealings
    0.64
    fters
    0.63
    itude
    0.63
     endeavors
    0.62
    Activations Density 0.506%

    No Known Activations