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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. 3-RES-JB
    6. 2924
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    INDEX
    Explanations

    references to a parent company or entity

    oai_token-act-pair · gpt-3.5-turbo

    references to parental figures or guardians

    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
    atility
    -0.84
    anwhile
    -0.74
     Antar
    -0.74
     Hawks
    -0.72
     Tribunal
    -0.70
     Limbaugh
    -0.68
    jriwal
    -0.67
     Medal
    -0.67
    gettable
    -0.65
    psey
    -0.65
    POSITIVE LOGITS
    hetical
    1.55
    hesis
    1.47
    hetically
    1.16
    heses
    1.14
    parents
    0.84
    hes
    0.82
    hood
    0.81
    Parents
    0.80
     parent
    0.79
    Parent
    0.76
    Activations Density 0.011%

    No Known Activations