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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 1-RES-JB
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    Explanations

    mentions of a specific entity or concept called "Tiger" with different numerical strengths

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Tiger."

    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
    earch
    -0.76
    lev
    -0.75
    ibel
    -0.74
    PsyNetMessage
    -0.73
    chool
    -0.72
    aleigh
    -0.72
    resso
    -0.71
    SOURCE
    -0.71
    iotic
    -0.68
    ersive
    -0.68
    POSITIVE LOGITS
     Tiger
    1.38
     tigers
    1.07
     tiger
    1.05
     Tigers
    0.94
     sharks
    0.93
     Woods
    0.91
     Jaguar
    0.83
     shark
    0.80
     stripes
    0.79
    opard
    0.78
    Activations Density 0.004%

    No Known Activations