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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. 24226
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    Explanations

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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
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    Negative Logits
    CBC
    -0.77
    CHAT
    -0.75
    NING
    -0.75
    BSD
    -0.70
    VM
    -0.66
    Gra
    -0.64
     Decision
    -0.64
    GES
    -0.62
    Jud
    -0.62
    Pen
    -0.61
    POSITIVE LOGITS
     flair
    0.84
    ricular
    0.81
    venient
    0.79
    endum
    0.74
     reinforcements
    0.69
     layers
    0.69
    ition
    0.68
     icing
    0.68
     layer
    0.68
    atro
    0.67
    Activations Density 0.258%

    No Known Activations