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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. 3694
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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 @ 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
     ACTIONS
    -0.65
     bruising
    -0.63
     tense
    -0.62
     negatives
    -0.62
     joint
    -0.61
     tantal
    -0.61
     margins
    -0.60
     snowball
    -0.60
     technicians
    -0.60
     dizz
    -0.59
    POSITIVE LOGITS
    )."
    0.92
    Jew
    0.90
    )!
    0.90
    veyard
    0.90
    )
    0.89
    /)
    0.87
    _
    0.85
    )...
    0.85
    uminati
    0.83
    foundland
    0.80
    Activations Density 0.098%

    No Known Activations