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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. 7-RES-JB
    11. 11623
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    Explanations

    phrases indicating a large quantity or number

    oai_token-act-pair · gpt-3.5-turbo

    frequent phrases and expressions that indicate a large quantity or majority of something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bye
    -0.79
     bulletin
    -0.66
     standings
    -0.65
     scrimmage
    -0.64
     motto
    -0.61
    =/
    -0.61
     disclaimer
    -0.60
     deduction
    -0.59
     Rip
    -0.59
     stagnation
    -0.58
    POSITIVE LOGITS
    doms
    0.79
    significant
    0.79
    ificant
    0.79
    ajor
    0.77
    etimes
    0.76
    illion
    0.75
    few
    0.75
    possibly
    0.74
    orah
    0.73
    perhaps
    0.73
    Activations Density 0.124%

    No Known Activations