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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
    11. 6810
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    Explanations

    the word "Hunt" followed by a number 9 or 10

    oai_token-act-pair · gpt-3.5-turbo

    instances of the name "Hunt."

    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
    Downloadha
    -0.82
     Seym
    -0.74
     instr
    -0.73
    sembly
    -0.72
    umbn
    -0.70
    afort
    -0.69
    farious
    -0.67
    graded
    -0.66
    uyomi
    -0.66
    optional
    -0.65
    POSITIVE LOGITS
     Hunt
    1.06
    ley
    0.98
    resses
    0.96
    hunt
    0.93
    ress
    0.92
    cheon
    0.90
    leigh
    0.83
    Hunt
    0.79
    wolf
    0.77
     hunts
    0.76
    Activations Density 0.008%

    No Known Activations