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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. 4-RES-JB
    11. 1150
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    INDEX
    Explanations

    materials, substances, or elements

    oai_token-act-pair · gpt-3.5-turbo

    specific types of substances and materials

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

    No Comments

    Negative Logits
     Honor
    -0.64
     Athe
    -0.63
     Celebr
    -0.61
     Leadership
    -0.60
    Chance
    -0.60
     Polit
    -0.60
     general
    -0.59
     martial
    -0.59
     Profession
    -0.58
    general
    -0.58
    POSITIVE LOGITS
     deposited
    0.90
    bytes
    0.87
    stuff
    0.86
    flow
    0.85
    clips
    0.80
    uria
    0.80
     molecules
    0.79
     oxide
    0.78
     dioxide
    0.76
     cylinders
    0.75
    Activations Density 0.331%

    No Known Activations