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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. 8-RES-JB
    11. 7111
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    brands and models of technology products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    taboola
    -0.81
    clud
    -0.77
    rina
    -0.76
     Debor
    -0.74
    glers
    -0.74
    reddits
    -0.72
    agonist
    -0.72
    uscript
    -0.72
    qqa
    -0.72
    overty
    -0.69
    POSITIVE LOGITS
     Precision
    1.24
     Electronics
    1.02
     Products
    1.00
     Corporation
    0.97
     Manufacturing
    0.93
     Ammunition
    0.92
    Benz
    0.92
    senal
    0.91
     Motorsport
    0.89
     products
    0.89
    Activations Density 0.339%

    No Known Activations