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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 2-RES-JB
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    Explanations

    the word "vast"

    oai_token-act-pair · gpt-3.5-turbo

    the term "vast" in relation to quantities or populations

    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
    ople
    -0.86
    SHIP
    -0.80
    WAR
    -0.79
    headers
    -0.72
    fman
    -0.69
    Dialogue
    -0.67
    PT
    -0.67
    ppers
    -0.65
    ©¶æ
    -0.64
    ME
    -0.64
    POSITIVE LOGITS
     amounts
    0.99
     majority
    0.96
     quantities
    0.93
     swat
    0.91
     gulf
    0.83
     expans
    0.82
    itud
    0.80
     swath
    0.79
     tracts
    0.79
     disproportion
    0.77
    Activations Density 0.009%

    No Known Activations