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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. 7216
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    Explanations

    spoken or written numbers, especially those indicating a sequence or order

    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
    shr
    -0.89
    serv
    -0.82
    mp
    -0.81
    hist
    -0.81
    stro
    -0.79
    conom
    -0.79
    orate
    -0.77
    panic
    -0.77
    cultural
    -0.76
    rit
    -0.76
    POSITIVE LOGITS
     VII
    1.02
     IX
    0.98
     1
    0.98
     2
    0.95
     4
    0.95
     XI
    0.94
     Eleven
    0.93
     VIII
    0.92
     XII
    0.90
     3
    0.90
    Activations Density 0.146%

    No Known Activations