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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. 18340
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    Explanations

    phrases related to atomic or quantum physics

    oai_token-act-pair · gpt-3.5-turbo

    references to "atoms," indicating a focus on atomic concepts in scientific contexts

    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
    PE
    -0.81
     Fargo
    -0.80
    dk
    -0.75
     Cosponsors
    -0.70
    cific
    -0.69
    HCR
    -0.69
    GROUND
    -0.69
    VICE
    -0.69
    Score
    -0.67
     Angeles
    -0.66
    POSITIVE LOGITS
     atom
    1.06
     Atom
    0.98
     atoms
    0.97
    aceous
    0.95
    oxin
    0.87
    izer
    0.86
    izers
    0.86
    atom
    0.86
    ctrl
    0.85
    iser
    0.84
    Activations Density 0.005%

    No Known Activations