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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. 1-RES-JB
    11. 13392
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    Explanations

    instances where the word "sequ" followed by different suffixes are mentioned

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "sequest" and its variations related to budget cuts

    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
     owners
    -0.69
     Kelvin
    -0.68
     Ukrainians
    -0.67
     Tat
    -0.66
     religions
    -0.65
     abusers
    -0.65
     Malays
    -0.63
     Hindus
    -0.63
     Oxy
    -0.62
    fighters
    -0.62
    POSITIVE LOGITS
    enced
    1.22
    encer
    1.21
     sequ
    1.19
    sequ
    1.10
    entially
    1.01
    encers
    0.98
    itures
    0.96
    encing
    0.95
    iture
    0.93
    ences
    0.87
    Activations Density 0.006%

    No Known Activations