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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. 4-RES-JB
    6. 23166
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    Explanations

    the word "Thomson."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the entity "Thomson Reuters."

    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
    mble
    -0.73
    eer
    -0.72
    hov
    -0.70
    aeper
    -0.69
    OOL
    -0.67
    yg
    -0.64
    eers
    -0.64
    ee
    -0.63
    stract
    -0.63
    âĸ¬
    -0.63
    POSITIVE LOGITS
     Thomson
    1.15
    psons
    1.01
     Reuters
    0.96
    DragonMagazine
    0.88
    Thom
    0.86
    sonian
    0.85
    ciating
    0.85
    stown
    0.84
     Browne
    0.83
    iola
    0.77
    Activations Density 0.016%

    No Known Activations