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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. 7-RES-JB
    11. 4922
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to authorities or legal orders

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    "))
    -0.86
    owship
    -0.72
     Skydragon
    -0.71
    AFP
    -0.69
    usercontent
    -0.65
     TAMADRA
    -0.65
     antidote
    -0.64
    avorite
    -0.63
    POSE
    -0.62
    Ore
    -0.62
    POSITIVE LOGITS
     standpoint
    1.45
     onwards
    1.28
     vantage
    1.24
     perspective
    1.20
     onward
    1.10
     perspectives
    0.99
     viewpoint
    0.95
     beginnings
    0.86
     backgrounds
    0.82
     mouths
    0.80
    Activations Density 0.300%

    No Known Activations