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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 18335
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    Explanations

    people's names or specific terms related to individuals or entities

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and references to specific entities or individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dickinson
    -0.67
     cents
    -0.64
     hed
    -0.61
     descriptor
    -0.58
     gratification
    -0.56
     rpm
    -0.56
     signalling
    -0.55
     payoff
    -0.55
     Robbins
    -0.55
     horsepower
    -0.52
    POSITIVE LOGITS
    Äĩ
    0.86
    sbm
    0.79
    Downloadha
    0.75
    achus
    0.72
    anmar
    0.67
     Parish
    0.65
     Torment
    0.65
    angan
    0.63
    gmail
    0.63
    án
    0.63
    Activations Density 1.053%

    No Known Activations