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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. 2483
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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
     JPEG
    -0.70
     blender
    -0.66
     Allied
    -0.64
     cob
    -0.62
     convict
    -0.62
     scrim
    -0.60
     bracket
    -0.60
     Belfast
    -0.59
     pigeon
    -0.59
     WHERE
    -0.59
    POSITIVE LOGITS
    s
    1.23
    ski
    0.95
    tsy
    0.95
    sch
    0.93
    ship
    0.92
    sen
    0.90
    tis
    0.89
    ships
    0.89
    sa
    0.88
    tal
    0.87
    Activations Density 0.172%

    No Known Activations