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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. 3-RES-JB
    11. 12813
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    Explanations

    mineral-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to minerals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ILLE
    -0.88
    lihood
    -0.77
     Ended
    -0.74
    akening
    -0.74
    orld
    -0.73
    iannopoulos
    -0.73
    aper
    -0.71
    European
    -0.71
    stretched
    -0.70
    earable
    -0.69
    POSITIVE LOGITS
    ogical
    1.09
     minerals
    0.98
     baths
    0.93
    istry
    0.91
     mineral
    0.90
     glands
    0.90
     gland
    0.84
    ogy
    0.84
     grains
    0.81
     ore
    0.81
    Activations Density 0.014%

    No Known Activations