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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. 9-RES-JB
    11. 4724
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    Explanations

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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 @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    osate
    -0.71
    eer
    -0.70
    aeper
    -0.67
    tarians
    -0.66
    cair
    -0.66
    iasis
    -0.66
    \/\/
    -0.65
    rador
    -0.63
    aceous
    -0.62
    Laun
    -0.61
    POSITIVE LOGITS
     briefed
    0.98
     familiar
    0.95
     consulted
    0.90
     sources
    0.84
     told
    0.82
     priv
    0.82
     knowledgeable
    0.78
     tells
    0.78
     close
    0.77
     confirm
    0.76
    Activations Density 0.043%

    No Known Activations