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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
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    Explanations

    the word "last"

    oai_token-act-pair · gpt-3.5-turbo

    repeated references to the concept of "last," particularly in relation to time

    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
    aband
    -0.70
     Franch
    -0.68
    olas
    -0.66
    ingen
    -0.66
    adders
    -0.66
    Lago
    -0.65
    amber
    -0.64
    krit
    -0.64
    gans
    -0.64
    afort
    -0.63
    POSITIVE LOGITS
     gasp
    1.06
     decade
    1.02
     ditch
    0.92
     month
    0.90
    ebin
    0.89
     week
    0.87
     year
    0.87
     supper
    0.83
     rites
    0.82
     few
    0.81
    Activations Density 0.051%

    No Known Activations