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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. 2-RES-JB
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    Explanations

    references to mining, particularly in the context of cryptocurrency

    oai_token-act-pair · gpt-3.5-turbo

    references to miners

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Liberties
    -0.81
    variable
    -0.73
    null
    -0.70
    orial
    -0.69
    OVER
    -0.68
    stood
    -0.67
    reads
    -0.67
    reme
    -0.66
    ipal
    -0.65
    ending
    -0.65
    POSITIVE LOGITS
     miner
    1.14
     miners
    1.07
     mined
    0.90
     corrid
    0.87
     mining
    0.82
     crates
    0.74
     ore
    0.74
     mines
    0.73
    imbabwe
    0.73
    rador
    0.71
    Activations Density 0.004%

    No Known Activations