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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. 5-RES-JB
    6. 12556
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    Explanations

    keywords related to programming and syntax

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating significant changes or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ]."
    -0.67
    )."
    -0.63
    .).
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    ).[
    -0.57
    )).
    -0.56
    }.
    -0.56
    '."
    -0.54
    ).
    -0.53
    .'"
    -0.53
    .""
    -0.51
    POSITIVE LOGITS
    ':
    0.57
    \":
    0.49
     understatement
    0.47
     ·
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    earchers
    0.43
    epad
    0.43
    TPPStreamerBot
    0.41
    arij
    0.41
    20439
    0.40
    resa
    0.40
    Activations Density 4.040%

    No Known Activations