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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. 3-RES-JB
    11. 18212
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    INDEX
    Explanations

    terms related to enjoyment or satisfaction

    oai_token-act-pair · gpt-3.5-turbo

    references to pleasure in various contexts

    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
    ept
    -0.65
    é¾
    -0.65
    REE
    -0.65
    dor
    -0.64
    ynski
    -0.64
     Rhod
    -0.62
    GN
    -0.61
    soType
    -0.61
    uve
    -0.61
     Nest
    -0.60
    POSITIVE LOGITS
     pleasure
    1.26
    joy
    0.94
     gratification
    0.92
     pleas
    0.90
     enjoyment
    0.88
     pleasures
    0.88
    obbies
    0.85
    fully
    0.82
    ously
    0.82
    sticks
    0.81
    Activations Density 0.009%

    No Known Activations