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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. 2992
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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 @ 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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    Negative Logits
    cius
    -0.81
    ertodd
    -0.80
    ocl
    -0.72
    ldom
    -0.72
    inho
    -0.72
    orno
    -0.68
     gripped
    -0.66
    emet
    -0.66
    ĪĴ
    -0.65
    pi
    -0.65
    POSITIVE LOGITS
     ado
    1.16
     advances
    0.87
     delay
    0.87
     advance
    0.87
     interruption
    0.87
     advancement
    0.85
    ance
    0.85
     developments
    0.81
     clarification
    0.78
     consideration
    0.78
    Activations Density 0.039%

    No Known Activations