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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. 4-RES-JB
    11. 4305
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    Explanations

    phrases mentioning a rule, law, or condition to which something is bound

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating regulatory compliance or restrictions

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

    No Comments

    Negative Logits
     Philips
    -0.68
    ERROR
    -0.66
     Zimmer
    -0.64
     Helsinki
    -0.61
     LOT
    -0.61
    iverpool
    -0.61
     latt
    -0.61
     straw
    -0.61
     Kats
    -0.60
     Alps
    -0.60
    POSITIVE LOGITS
    ively
    1.08
    ivity
    1.01
    itatively
    0.87
    ically
    0.85
    ivities
    0.85
    classes
    0.84
    ivist
    0.83
    icals
    0.82
    itably
    0.79
    ivism
    0.78
    Activations Density 0.014%

    No Known Activations