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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. 9-RES-JB
    11. 5561
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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 @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     executions
    -0.64
    Prosecut
    -0.63
    Reloaded
    -0.63
    judicial
    -0.62
    selection
    -0.61
    Hig
    -0.59
    ptroller
    -0.59
    Dialog
    -0.59
     bilateral
    -0.58
    uted
    -0.58
    POSITIVE LOGITS
     rejoice
    1.53
     alike
    1.33
     beware
    1.30
     extraord
    1.03
     everywhere
    0.98
     cringe
    0.92
     Beware
    0.88
     flock
    0.83
     wishing
    0.82
    ometimes
    0.81
    Activations Density 0.197%

    No Known Activations