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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. 15899
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    Explanations

    specific town names

    oai_token-act-pair · gpt-3.5-turbo

    references to societal or political issues and governance

    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
     @
    -0.53
     thanking
    -0.49
     Originally
    -0.48
     consists
    -0.45
     because
    -0.44
     [+
    -0.44
     spoilers
    -0.43
     ðŁij
    -0.42
     tonight
    -0.40
     FANTASY
    -0.40
    POSITIVE LOGITS
    )).
    0.92
    .).
    0.85
    ]).
    0.77
    ]."
    0.75
    %).
    0.75
    ).[
    0.72
    ?).
    0.71
    .''.
    0.69
    }.
    0.69
    ).
    0.67
    Activations Density 3.006%

    No Known Activations