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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. 3-RES-JB
    11. 24296
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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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    displayText
    -0.80
    Reading
    -0.72
    STATE
    -0.68
     negatives
    -0.68
    ropolitan
    -0.68
     Newsp
    -0.67
     Mellon
    -0.66
     ABE
    -0.64
     Newspaper
    -0.64
    maxwell
    -0.64
    POSITIVE LOGITS
     hel
    1.08
    pless
    0.82
    shell
    0.78
    iced
    0.78
    lev
    0.77
    ilus
    0.76
    wered
    0.76
    itional
    0.75
    icular
    0.75
    ping
    0.75
    Activations Density 0.005%

    No Known Activations