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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. 0-RES-JB
    11. 7732
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    Explanations

    words related to volume or amount

    oai_token-act-pair · gpt-3.5-turbo

    references to volume, particularly in the context of films or media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    glers
    -0.76
     Taco
    -0.74
    arantine
    -0.70
     Tags
    -0.69
     Safe
    -0.69
     Carry
    -0.67
     Restaur
    -0.66
    Spons
    -0.64
     Lemon
    -0.62
     Waters
    -0.62
    POSITIVE LOGITS
     vol
    3.73
    EngineDebug
    0.94
     volumes
    0.87
     VOL
    0.86
     fuller
    0.85
     prod
    0.84
     volume
    0.82
     Volume
    0.81
     accord
    0.80
     vain
    0.80
    Activations Density 0.015%

    No Known Activations