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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. 24055
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    Explanations

    phrases related to rays or radiation

    oai_token-act-pair · gpt-3.5-turbo

    references to rays, particularly gamma rays, in various 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
    phis
    -0.73
     appell
    -0.69
    buquerque
    -0.67
    iasco
    -0.65
     chalk
    -0.65
    iture
    -0.65
    CHA
    -0.63
    abulary
    -0.63
     drawer
    -0.63
    anooga
    -0.63
    POSITIVE LOGITS
     rays
    1.06
    oning
    0.86
    liner
    0.84
    cream
    0.83
    enium
    0.83
    liners
    0.81
    rays
    0.78
     ray
    0.77
    casts
    0.76
    casting
    0.76
    Activations Density 0.012%

    No Known Activations