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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. 6-RES-JB
    11. 24495
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    INDEX
    Explanations

    phrases related to governmental policies and procedures

    oai_token-act-pair · gpt-3.5-turbo

    statements and facts that conclude or highlight key points in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     gut
    -0.69
     manif
    -0.69
     contingency
    -0.66
     unders
    -0.66
     affili
    -0.65
     rat
    -0.64
     coh
    -0.63
    rien
    -0.62
     oun
    -0.62
     explor
    -0.60
    POSITIVE LOGITS
    ↵
    1.04
    <|endoftext|>
    0.97
     Including
    0.92
     Includes
    0.89
     Besides
    0.86
     Afterwards
    0.85
     Especially
    0.85
     Alternatively
    0.83
     Also
    0.81
     Again
    0.79
    Activations Density 0.408%

    No Known Activations