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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
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    Explanations

    positive adjectives describing something impressive or extraordinary

    oai_token-act-pair · gpt-3.5-turbo

    the word "remarkable" and its various contexts and usages

    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
    illary
    -0.78
    rete
    -0.78
    othal
    -0.75
    ibal
    -0.73
    ©¶æ
    -0.72
    ioxide
    -0.70
    othy
    -0.68
    igers
    -0.68
    claimer
    -0.67
    alian
    -0.66
    POSITIVE LOGITS
    NESS
    0.96
     feat
    0.86
     remarkable
    0.84
     contrasts
    0.82
     accomplishment
    0.81
     achievement
    0.80
     feats
    0.75
     coincidence
    0.72
     revelations
    0.71
     EDITION
    0.71
    Activations Density 0.014%

    No Known Activations