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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. 14932
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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
    Not in Any Lists

    No Comments

    Negative Logits
    ilts
    -0.87
    sonian
    -0.83
    MpServer
    -0.81
    olls
    -0.79
    eenth
    -0.78
    âĶĢâĶĢ
    -0.73
    idges
    -0.72
    oeuv
    -0.72
    olin
    -0.72
    amina
    -0.71
    POSITIVE LOGITS
     detention
    1.08
     visas
    0.98
     immigration
    0.98
     Detention
    0.93
     clearance
    0.87
     deportation
    0.87
     visa
    0.85
     immigrants
    0.83
     deported
    0.82
     detain
    0.81
    Activations Density 0.027%

    No Known Activations