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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. 7-RES-JB
    11. 19101
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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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     spat
    -0.73
     mouths
    -0.71
    igans
    -0.71
    sein
    -0.69
    inki
    -0.68
    abad
    -0.66
    urat
    -0.63
    EStream
    -0.62
    ĸļ
    -0.62
     reins
    -0.61
    POSITIVE LOGITS
    ©¶æ
    0.73
     guiActiveUnfocused
    0.71
    itions
    0.67
    imester
    0.65
    rosso
    0.64
     Expend
    0.63
    onential
    0.62
    xia
    0.62
    ®,
    0.61
    âĦ¢
    0.60
    Activations Density 0.484%

    No Known Activations