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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. 449
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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
    Not in Any Lists

    No Comments

    Negative Logits
    Secondly
    -0.71
    NetMessage
    -0.67
    govtrack
    -0.64
    False
    -0.61
     Misty
    -0.60
    seed
    -0.59
     IMAGES
    -0.58
    pressed
    -0.58
     secondly
    -0.57
    ening
    -0.57
    POSITIVE LOGITS
     overseeing
    1.23
     oversee
    0.90
     overseen
    0.88
     oversaw
    0.83
     oversees
    0.82
    orship
    0.80
    stration
    0.74
     superv
    0.71
    İĭ
    0.69
    ership
    0.67
    Activations Density 0.033%

    No Known Activations