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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. 15500
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    oai_token-act-pair · gpt-3.5-turbo

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    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
     thereof
    -0.63
    hes
    -0.51
     sucked
    -0.50
    å§
    -0.49
     couldn
    -0.49
    mouth
    -0.47
     hated
    -0.47
     wouldn
    -0.46
     succumbed
    -0.46
     destined
    -0.45
    POSITIVE LOGITS
    oggles
    0.69
    ilial
    0.58
    enhagen
    0.57
     declass
    0.56
    âĦ¢:
    0.54
     caution
    0.54
    avorite
    0.50
    undrum
    0.50
     locating
    0.49
     unanimous
    0.49
    Activations Density 0.867%

    No Known Activations