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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. 9-RES-JB
    11. 16707
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    Explanations

    phrases that suggest emphasis, importance, or comparison

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to successful outcomes and achievements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    andem
    -0.76
    pei
    -0.74
    apest
    -0.73
    ationally
    -0.72
    idel
    -0.72
    iren
    -0.71
    opted
    -0.71
    uum
    -0.70
    Ñı
    -0.69
    arse
    -0.68
    POSITIVE LOGITS
     economics
    0.91
     monetary
    0.91
     loneliness
    0.84
     alcoholism
    0.82
     genetics
    0.81
     aesthetics
    0.81
     longevity
    0.81
     agriculture
    0.79
     chemistry
    0.79
     transportation
    0.79
    Activations Density 0.669%

    No Known Activations