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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. 5948
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    Explanations

    phrases containing proper names followed by medical or crime-related terms

    oai_token-act-pair · gpt-3.5-turbo

    various contexts and expressions of wisdom or reflective life advice

    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
     flare
    -0.63
     spectrum
    -0.61
     precaution
    -0.61
     indications
    -0.61
     Crab
    -0.60
     adversary
    -0.60
     allied
    -0.60
     opposing
    -0.59
     repeal
    -0.59
     footing
    -0.59
    POSITIVE LOGITS
    ³³³
    0.89
    inav
    0.80
    Narr
    0.79
    isine
    0.77
    posted
    0.76
    ONSORED
    0.74
    advertising
    0.73
    ascript
    0.72
    Synopsis
    0.71
    eworld
    0.71
    Activations Density 0.219%

    No Known Activations