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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 4346
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    Explanations

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    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
    awaru
    -0.68
     Palestin
    -0.67
    EMENT
    -0.67
    BILITY
    -0.67
     Democr
    -0.67
    TAIN
    -0.63
    GMT
    -0.61
     BDS
    -0.60
     VIDEOS
    -0.60
     Bethlehem
    -0.59
    POSITIVE LOGITS
    ashing
    1.19
    ogged
    1.17
    ojure
    1.17
    ipper
    1.14
    avier
    1.12
    amped
    1.10
    amps
    1.07
    umps
    1.06
    unky
    1.06
    ique
    1.04
    Activations Density 0.009%

    No Known Activations