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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. 3-RES-JB
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    Explanations

    instances of the word "Meet"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Meet" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ¥ŀ
    -0.76
    wcs
    -0.76
     destro
    -0.76
    ©¶æ
    -0.75
    ettel
    -0.72
     rall
    -0.72
     harvesting
    -0.72
     extrap
    -0.71
    secut
    -0.69
    bably
    -0.68
    POSITIVE LOGITS
    ings
    1.42
     Meet
    1.00
    Meet
    0.93
    INGS
    0.93
    ances
    0.92
    ers
    0.89
    ups
    0.87
    liest
    0.83
    ership
    0.82
    ingly
    0.82
    Activations Density 0.007%

    No Known Activations