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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. 3760
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    phrases related to creating opportunities or laying the groundwork for future actions or developments

    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
    aries
    -0.74
     WATCHED
    -0.72
     Monitor
    -0.65
     pneum
    -0.64
     Emin
    -0.62
    wig
    -0.61
    ancies
    -0.61
    inia
    -0.59
    agara
    -0.59
    inately
    -0.58
    POSITIVE LOGITS
    \\\\\\\\
    1.11
    road
    0.98
     pave
    0.97
    way
    0.89
    ways
    0.89
    WAY
    0.89
     pavement
    0.84
    geon
    0.83
     paving
    0.83
    roads
    0.81
    Activations Density 0.086%

    No Known Activations