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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. 2-RES-JB
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    Explanations

    the word "fork"

    oai_token-act-pair · gpt-4-turbo

    instances of the word "fork" in texts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "fork."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Neville
    -0.66
    ACP
    -0.65
    useum
    -0.65
     Honour
    -0.65
     Laboratory
    -0.64
    chemical
    -0.63
    MSN
    -0.62
    anyahu
    -0.61
    Org
    -0.61
     Fundamental
    -0.60
    POSITIVE LOGITS
    lift
    1.34
     fork
    1.09
     forks
    0.93
     straw
    0.78
    fork
    0.76
    ners
    0.75
    pit
    0.75
     parting
    0.74
    ettle
    0.72
    oute
    0.71
    Activations Density 0.011%

    No Known Activations