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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. 7-RES-JB
    6. 24491
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    Explanations

    words related to psychological or self-related concepts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to self-related conditions and actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sea
    -0.82
    nan
    -0.71
    ugu
    -0.71
    anwhile
    -0.68
    KEY
    -0.68
    hillary
    -0.66
    estone
    -0.66
    fml
    -0.66
    endez
    -0.65
    eday
    -0.64
    POSITIVE LOGITS
    itled
    0.69
     attribution
    0.68
    rency
    0.68
    essed
    0.67
     blame
    0.64
     gratification
    0.63
    rating
    0.61
     prophecy
    0.61
     exile
    0.61
    ihilation
    0.60
    Activations Density 0.057%

    No Known Activations