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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. 1-RES-JB
    11. 21486
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    Explanations

    references to tribulations or difficult situations

    oai_token-act-pair · gpt-3.5-turbo

    references to tribulations and challenges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     redirect
    -0.75
    ware
    -0.72
    ACP
    -0.69
     Canary
    -0.69
     Cascade
    -0.67
     sink
    -0.67
     Socket
    -0.64
     Monetary
    -0.63
     Dresden
    -0.62
    IZE
    -0.62
    POSITIVE LOGITS
     trib
    1.43
    union
    0.93
    oly
    0.89
    ril
    0.84
     Trib
    0.83
    emate
    0.83
    uli
    0.83
    unic
    0.81
    icho
    0.81
    ally
    0.80
    Activations Density 0.006%

    No Known Activations