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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. 4158
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    INDEX
    Explanations

    phrases related to taking action and participation

    oai_token-act-pair · gpt-3.5-turbo

    calls to action or imperative statements

    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
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    No Comments

    Negative Logits
    arte
    -0.70
    oult
    -0.69
     implied
    -0.65
     "$:/
    -0.64
     CPC
    -0.64
    abase
    -0.63
     herself
    -0.61
     extrad
    -0.60
    ividual
    -0.59
     msec
    -0.58
    POSITIVE LOGITS
    --------------------------------------------------------
    0.79
    Ü
    0.77
    !!!!
    0.76
    ratulations
    0.73
    âĶģ
    0.73
    !!!
    0.72
    !!!!!
    0.72
    ONSORED
    0.72
    Laughs
    0.69
    YES
    0.68
    Activations Density 0.222%

    No Known Activations