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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. 6894
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    proper names or entities

    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
    zai
    -0.78
    eers
    -0.76
    rer
    -0.73
    hold
    -0.73
    eer
    -0.68
    lio
    -0.67
     Samoa
    -0.65
    bite
    -0.65
     Explain
    -0.65
    enberg
    -0.65
    POSITIVE LOGITS
    LC
    1.27
    OC
    1.25
    BC
    1.24
    FO
    1.23
    VI
    1.19
    BS
    1.17
    PS
    1.16
    KN
    1.16
    OG
    1.15
    RC
    1.15
    Activations Density 0.154%

    No Known Activations