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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. 3164
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    Explanations

    numbers and measurements such as lengths, weights, volumes, and monetary values

    oai_token-act-pair · gpt-3.5-turbo

    numerical measurements and specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
     guiName
    -0.72
    */(
    -0.70
    [/
    -0.66
     (<
    -0.66
     (>
    -0.59
     ('
    -0.57
     (#
    -0.56
     ($
    -0.56
    bats
    -0.55
    .<
    -0.54
    POSITIVE LOGITS
     ?)
    1.01
    ?)
    0.97
    âĢ¦)
    0.94
    !)
    0.94
    )]
    0.91
    ')
    0.91
    )}
    0.88
    )-
    0.87
    )!
    0.85
    ?).
    0.83
    Activations Density 0.116%

    No Known Activations