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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 23991
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    Explanations

    the word "matters" within text

    oai_token-act-pair · gpt-3.5-turbo

    the word "matters" and its variations in different 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
    ARP
    -0.87
    ARK
    -0.78
    asters
    -0.75
    ãĥ³ãĤ¸
    -0.72
     ceiling
    -0.70
    asting
    -0.70
    urses
    -0.68
    Tur
    -0.68
    ADE
    -0.66
    zie
    -0.65
    POSITIVE LOGITS
     matters
    1.23
    matter
    1.09
    enance
    0.96
    ername
    0.94
     Matters
    0.93
    manship
    0.92
     mattered
    0.89
     Matter
    0.82
     matter
    0.81
    relevant
    0.80
    Activations Density 0.007%

    No Known Activations