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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. 7-RES-JB
    11. 17110
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    Explanations

    phrases related to different species

    oai_token-act-pair · gpt-3.5-turbo

    references to biological species and their categorization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ibur
    -0.76
    pton
    -0.70
    endar
    -0.69
    ashington
    -0.68
    dan
    -0.68
    arty
    -0.67
    Accessory
    -0.67
    Bey
    -0.66
     stead
    -0.64
    uts
    -0.63
    POSITIVE LOGITS
     richness
    1.03
    icide
    0.99
     species
    0.98
    icides
    0.97
    species
    0.96
    inctions
    0.90
     Species
    0.86
     biologists
    0.85
     bred
    0.85
     extinct
    0.83
    Activations Density 0.040%

    No Known Activations