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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. 6-RES-JB
    11. 9850
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    Explanations

    proper nouns related to locations, events, people, and organizations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of places, organizations, and notable events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    terday
    -0.74
     sights
    -0.74
    anwhile
    -0.71
     embassies
    -0.69
     totality
    -0.69
    quickShipAvailable
    -0.69
    rencies
    -0.68
     pathways
    -0.66
     finances
    -0.65
     Canaver
    -0.63
    POSITIVE LOGITS
    ussian
    1.07
    assian
    0.88
    ussie
    0.84
    orian
    0.83
    onian
    0.82
    istine
    0.77
    tec
    0.76
    itech
    0.75
    inian
    0.75
    uggle
    0.75
    Activations Density 0.235%

    No Known Activations