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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 4954
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    INDEX
    Explanations

    phrases related to goals, intentions, and purposes

    oai_token-act-pair · gpt-3.5-turbo

    statements of intention or goal statements regarding actions and purposes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lex
    -0.71
    leans
    -0.68
    etheless
    -0.65
    Lago
    -0.63
    cloth
    -0.62
    DragonMagazine
    -0.60
    uberty
    -0.60
     bruises
    -0.59
    batch
    -0.59
    Phys
    -0.59
    POSITIVE LOGITS
     goal
    2.06
     purpose
    2.04
     objectives
    1.91
     aim
    1.83
     goals
    1.81
     objective
    1.81
     aims
    1.73
     Purpose
    1.64
    goal
    1.61
     purposes
    1.59
    Activations Density 0.639%

    No Known Activations