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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. 4-RES-JB
    11. 4600
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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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    roach
    -0.84
    interrupted
    -0.82
    PLIED
    -0.73
    ewitness
    -0.72
    LAN
    -0.71
    Madison
    -0.69
    HAEL
    -0.69
    death
    -0.69
    real
    -0.68
    peria
    -0.67
    POSITIVE LOGITS
     sorting
    1.01
    ãĤ¦ãĤ¹
    0.85
    ãĤ¶
    0.79
     alphabet
    0.79
     Sort
    0.78
    phabet
    0.78
     partName
    0.78
    Sort
    0.75
    mates
    0.74
    ãĥĥ
    0.74
    Activations Density 0.017%

    No Known Activations