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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. 17531
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    Explanations

    terms related to non-standard or unconventional elements

    oai_token-act-pair · gpt-3.5-turbo

    terms related to non-conformity and various "non-" prefixed categories across different contexts

    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
    Dialogue
    -0.80
    MAC
    -0.69
    CHAT
    -0.67
    wagen
    -0.66
    Hope
    -0.65
     Rousse
    -0.65
     Spa
    -0.64
    adder
    -0.63
     Bees
    -0.61
    ioxide
    -0.60
    POSITIVE LOGITS
    ensical
    0.94
    existent
    0.93
    ensable
    0.90
    theless
    0.87
    istant
    0.83
    ucl
    0.81
    oidal
    0.78
    gment
    0.77
    vasive
    0.77
    igenous
    0.76
    Activations Density 0.078%

    No Known Activations