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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 23176
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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
    Not in Any Lists

    No Comments

    Negative Logits
    swick
    -0.88
    xus
    -0.76
    afia
    -0.75
    ucker
    -0.74
    ippi
    -0.74
    ueller
    -0.74
    ilege
    -0.71
    akis
    -0.69
    atsu
    -0.69
    atican
    -0.69
    POSITIVE LOGITS
     unpop
    0.76
    rogens
    0.72
     meaning
    0.67
     agile
    0.67
     durable
    0.66
     Manufacturer
    0.66
     adj
    0.65
     albeit
    0.65
     clothed
    0.64
    meaning
    0.64
    Activations Density 0.434%

    No Known Activations