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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 13606
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    Explanations

    phrases relating to a particular aspect or concept, but the examples provided do not reveal a common theme

    oai_token-act-pair · gpt-3.5-turbo

    the term "thing," often referring to various subjects or concepts in discussion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inav
    -0.90
    incinn
    -0.75
    rylic
    -0.72
    ardi
    -0.71
    ervation
    -0.71
    osponsors
    -0.69
    oufl
    -0.69
    irl
    -0.68
    cling
    -0.67
    ctic
    -0.67
    POSITIVE LOGITS
    Else
    0.91
     thing
    0.88
     happ
    0.86
    iverse
    0.85
     Valiant
    0.83
     happening
    0.82
     happened
    0.79
    REDACTED
    0.78
     Thing
    0.77
    worm
    0.75
    Activations Density 0.028%

    No Known Activations