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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
    11. 3120
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    Explanations

    proper nouns related to the energy industry

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the company "Petro" and related entities

    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
    lihood
    -0.77
    imum
    -0.76
    imony
    -0.70
    ists
    -0.70
    aya
    -0.69
    erness
    -0.68
    aired
    -0.68
    iveness
    -0.67
    ary
    -0.66
    shire
    -0.65
    POSITIVE LOGITS
    zza
    0.89
    zzo
    0.89
    lda
    0.82
    XY
    0.81
    vent
    0.81
    FORE
    0.81
    chnology
    0.80
    forming
    0.79
    iscons
    0.78
    que
    0.77
    Activations Density 0.031%

    No Known Activations