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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. 4215
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    Explanations

    words related to punctuation, particularly emphasizing those that appear before or after punctuation marks

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "punct" and terms related to punctuation

    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
    PRES
    -0.79
    EStream
    -0.77
    CTV
    -0.74
    HCR
    -0.72
    GROUND
    -0.72
    Tang
    -0.71
    FTWARE
    -0.70
    HEAD
    -0.70
    isSpecialOrderable
    -0.69
    Sham
    -0.68
    POSITIVE LOGITS
    uated
    1.23
    uation
    1.13
    uates
    1.05
    uating
    1.01
    ured
    0.98
    ibly
    0.96
    uate
    0.95
     punct
    0.92
    inct
    0.92
    ures
    0.91
    Activations Density 0.006%

    No Known Activations