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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. 4-RES-JB
    11. 7345
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    Explanations

    the word "amazing" with relatively high activation values

    oai_token-act-pair · gpt-3.5-turbo

    expressions of admiration or enthusiasm

    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
    ©¶æ
    -0.83
    epend
    -0.82
    pai
    -0.82
    embed
    -0.77
    vere
    -0.77
    eter
    -0.76
    aper
    -0.76
    avis
    -0.74
    few
    -0.72
    enser
    -0.71
    POSITIVE LOGITS
    NESS
    0.87
     rendition
    0.86
     coincidence
    0.85
     feats
    0.85
     feat
    0.83
     amazing
    0.75
     talent
    0.75
     accomplishment
    0.75
     amounts
    0.74
     incredible
    0.71
    Activations Density 0.029%

    No Known Activations