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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. 9-RES-JB
    11. 20116
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    Explanations

    references to periods of time, such as weeks, months, and years, particularly when they are described with an emotional or impactful tone

    oai_token-act-pair · gpt-3.5-turbo

    references to time periods such as weeks, months, and years

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     guiActiveUn
    -0.72
    emort
    -0.69
    Fac
    -0.65
    ataka
    -0.63
     hooks
    -0.63
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.63
    essee
    -0.61
    Cmd
    -0.61
    inguishable
    -0.60
     Incre
    -0.59
    POSITIVE LOGITS
    nings
    0.83
     indeed
    0.82
    dream
    0.76
    ————————
    0.73
     affair
    0.71
    ————
    0.71
     ahead
    0.66
    night
    0.65
    coat
    0.65
     outing
    0.65
    Activations Density 0.124%

    No Known Activations