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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. 2-RES-JB
    11. 21867
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    Explanations

    numerical tallies or counts

    oai_token-act-pair · gpt-3.5-turbo

    references to counting or recording numerical data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     livest
    -0.65
    aimon
    -0.62
    por
    -0.59
    sbm
    -0.59
    pton
    -0.59
     Galile
    -0.58
    thur
    -0.57
     Subjects
    -0.56
    duct
    -0.55
     abduct
    -0.55
    POSITIVE LOGITS
    enance
    1.19
     tally
    1.16
     tallied
    0.89
    ries
    0.85
    sheets
    0.80
     totals
    0.78
    sheet
    0.77
    alled
    0.74
    ming
    0.72
    bot
    0.70
    Activations Density 0.011%

    No Known Activations