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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
    11. 9471
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    Explanations

    descriptions of things as outstanding or remarkable

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "impressive" in various contexts

    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
    ©¶æ
    -0.77
    iche
    -0.71
    sole
    -0.69
    ole
    -0.66
    Rail
    -0.65
    radio
    -0.64
    bid
    -0.63
    othy
    -0.62
    oned
    -0.62
    opter
    -0.62
    POSITIVE LOGITS
     feats
    0.92
     enough
    0.90
     feat
    0.87
     accomplishment
    0.85
    issance
    0.83
     accomplishments
    0.83
     impressive
    0.83
     accol
    0.75
     newcomer
    0.74
    NESS
    0.74
    Activations Density 0.014%

    No Known Activations