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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. 17759
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    INDEX
    Explanations

    references to specific locations, particularly in Virginia and Maryland

    oai_token-act-pair · gpt-3.5-turbo

    financial figures and statistics related to demographics

    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
     chores
    -0.54
     instruments
    -0.53
    agonists
    -0.53
     predetermined
    -0.52
     somew
    -0.52
     PRODUCT
    -0.49
     agendas
    -0.49
     EVENTS
    -0.49
     necessities
    -0.49
     margins
    -0.49
    POSITIVE LOGITS
    iHUD
    0.66
    rique
    0.65
     Cosponsors
    0.61
     famously
    0.60
    example
    0.60
    oÄŁ
    0.60
    pictured
    0.59
    amaz
    0.58
    ahime
    0.58
    Footnote
    0.56
    Activations Density 1.747%

    No Known Activations