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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. 13796
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    Explanations

    descriptions related to computer hardware specifications

    oai_token-act-pair · gpt-3.5-turbo

    numerical values associated with technology specifications and dates

    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
    iage
    -0.84
    ardless
    -0.81
    bably
    -0.80
    ãĤ¤ãĥĪ
    -0.79
    alties
    -0.74
    oir
    -0.66
    amo
    -0.65
    ghai
    -0.64
     Cosponsors
    -0.64
    dinand
    -0.63
    POSITIVE LOGITS
    é¾įå¥ij士
    0.77
    RAL
    0.74
    士
    0.71
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    0.71
    estone
    0.68
    clear
    0.68
    754
    0.63
    zek
    0.63
     Notting
    0.62
     brun
    0.61
    Activations Density 0.307%

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