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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. 9-RES-JB
    11. 4225
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    Explanations

    sentences ending with a specific format of the word 's'

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tours
    -0.80
     Sev
    -0.69
     RN
    -0.69
     Salon
    -0.67
     Sources
    -0.65
     Moff
    -0.61
     Alexandria
    -0.61
     Marshal
    -0.60
     Talks
    -0.60
     Mobil
    -0.60
    POSITIVE LOGITS
    uddenly
    1.23
    lightly
    1.14
    pecially
    1.13
    omew
    1.10
    ELF
    1.04
    ometimes
    1.00
    ustainable
    1.00
    atisf
    0.94
    outhern
    0.94
    leeve
    0.90
    Activations Density 0.140%

    No Known Activations