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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. 14400
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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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    No Comments

    Negative Logits
     vel
    -0.65
     walking
    -0.63
     scenery
    -0.63
     fencing
    -0.62
     cart
    -0.61
     bleeding
    -0.61
     creeping
    -0.59
     wagon
    -0.58
     Lama
    -0.58
     washed
    -0.57
    POSITIVE LOGITS
    eva
    0.82
    âĢ²
    0.73
    157
    0.72
    148
    0.72
    120
    0.71
    0000000
    0.71
    644
    0.70
    118
    0.70
    oj
    0.69
    202
    0.69
    Activations Density 0.140%

    No Known Activations