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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. 1-RES-JB
    11. 5011
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    Explanations

    phrases related to someone or something standing out or excelling

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word 'shine' or its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hus
    -0.76
    icultural
    -0.72
    alloc
    -0.69
    remlin
    -0.66
    tele
    -0.64
    mental
    -0.62
     Humans
    -0.62
     compuls
    -0.61
     planners
    -0.61
    agara
    -0.61
    POSITIVE LOGITS
     shine
    1.36
     shines
    1.24
     shone
    1.21
     shining
    0.89
     brighter
    0.86
     brightest
    0.84
     tremend
    0.81
    shine
    0.80
    abouts
    0.76
    elight
    0.74
    Activations Density 0.007%

    No Known Activations