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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. 1-RES-JB
    11. 8663
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    Explanations

    sequences of events or commands

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "sequence" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lying
    -0.93
    ubb
    -0.85
    dom
    -0.74
    brow
    -0.73
    initions
    -0.73
    ryn
    -0.72
    aghd
    -0.70
    moderate
    -0.69
    undai
    -0.69
    vae
    -0.69
    POSITIVE LOGITS
     Sequence
    1.33
     sequence
    1.29
     sequences
    1.16
    ĸļ
    0.88
     sequencing
    0.86
    Sequ
    0.83
    sequence
    0.80
     Sequ
    0.77
    RIPT
    0.76
    ODE
    0.74
    Activations Density 0.012%

    No Known Activations