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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. 10997
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    Explanations

    verbs related to movement or action

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the process of implementing or launching something new

    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
    acters
    -0.81
    bub
    -0.78
    orial
    -0.74
    perse
    -0.73
    ãĥ¤
    -0.73
    ior
    -0.70
    ãĤ»
    -0.67
    bour
    -0.65
    EMP
    -0.65
    ¿½
    -0.64
    POSITIVE LOGITS
     downhill
    0.94
     rolling
    0.79
    anut
    0.78
    roll
    0.77
    back
    0.76
    sheet
    0.76
     oats
    0.75
     rolled
    0.74
     roll
    0.73
     belly
    0.72
    Activations Density 0.015%

    No Known Activations