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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. 8-RES-JB
    11. 11821
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    INDEX
    Explanations

    the word "going" at a high activation level

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating future intentions or plans

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ullah
    -0.85
    essa
    -0.69
     appell
    -0.67
    ament
    -0.64
    ellation
    -0.62
    hee
    -0.60
    lore
    -0.60
    aila
    -0.59
    rices
    -0.58
    sector
    -0.58
    POSITIVE LOGITS
     overboard
    0.91
     nowhere
    0.76
     downhill
    0.76
     upstairs
    0.75
    vt
    0.75
     Commando
    0.74
    ggle
    0.74
     viral
    0.73
     crazy
    0.71
     broke
    0.71
    Activations Density 0.056%

    No Known Activations