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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. 3-RES-JB
    11. 14732
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    Explanations

    mentions of technology-related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of technology-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -1.00
    theless
    -0.87
    staking
    -0.78
     Grave
    -0.72
     Lakes
    -0.70
     Barg
    -0.69
     Duty
    -0.68
     Wem
    -0.68
     Cly
    -0.67
     Prosecut
    -0.67
    POSITIVE LOGITS
     savvy
    1.04
    Crunch
    1.03
     gadgets
    0.95
    onomy
    0.95
     gadget
    0.90
     tech
    0.89
    tech
    0.88
    anooga
    0.83
    afety
    0.83
    Tech
    0.82
    Activations Density 0.016%

    No Known Activations