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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. 7-RES-JB
    11. 7287
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    taboola
    -0.88
     highs
    -0.80
     disg
    -0.74
     squats
    -0.73
    otin
    -0.72
     apologies
    -0.72
     tales
    -0.72
     melt
    -0.71
     jaws
    -0.70
     virtues
    -0.70
    POSITIVE LOGITS
    Parameters
    1.21
    Object
    1.12
    ()
    1.10
    Item
    1.10
    Context
    1.09
    Exception
    1.06
    Property
    1.04
    Result
    1.04
    Time
    1.04
    Event
    1.04
    Activations Density 0.086%

    No Known Activations