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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. 16063
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    Explanations

    phrases related to personal growth and achievement

    oai_token-act-pair · gpt-3.5-turbo

    topics related to rights and procedural issues

    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
    building
    -0.56
    las
    -0.53
     Tarant
    -0.53
    cation
    -0.52
     Tropical
    -0.51
    erno
    -0.51
    rid
    -0.51
    launch
    -0.51
    sama
    -0.50
     Ange
    -0.50
    POSITIVE LOGITS
     themselves
    1.26
    selves
    1.01
     selves
    0.97
     careers
    0.91
     willingly
    0.81
     voluntarily
    0.79
     individually
    0.78
     their
    0.74
     incomes
    0.73
     elig
    0.70
    Activations Density 1.022%

    No Known Activations