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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. 1-RES-JB
    11. 21951
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    Explanations

    descriptions or mentions of plastic materials

    oai_token-act-pair · gpt-3.5-turbo

    references to plastic materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rt
    -0.78
     Sending
    -0.74
     [|
    -0.72
    Imp
    -0.68
    RT
    -0.68
    vid
    -0.68
    Sax
    -0.67
    Assad
    -0.67
    ITNESS
    -0.67
    Witness
    -0.66
    POSITIVE LOGITS
     plastic
    1.15
     tubing
    1.01
     filament
    0.94
     surgery
    0.93
     Plastic
    0.92
     bags
    0.91
     plastics
    0.91
     packaging
    0.83
     garbage
    0.83
     pellets
    0.82
    Activations Density 0.007%

    No Known Activations