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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. 9-RES-JB
    6. 22082
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    INDEX
    Explanations

    mentions of childhood experiences or growing up in different places

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the experience of growing up

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asus
    -0.80
    rium
    -0.76
    vernment
    -0.76
    apo
    -0.74
    pers
    -0.72
    İĭ
    -0.72
    gement
    -0.69
    edy
    -0.66
    elight
    -0.66
    idine
    -0.65
    POSITIVE LOGITS
    chool
    0.89
     surrounded
    0.89
     idol
    0.85
     dreaming
    0.84
     believing
    0.82
     hating
    0.81
     watching
    0.81
     witnessing
    0.77
     listening
    0.76
     imagining
    0.72
    Activations Density 0.037%

    No Known Activations