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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. 4-RES-JB
    11. 15868
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    Explanations

    expressions related to enjoyment or satisfaction

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to the concept of pleasure

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

    No Comments

    Negative Logits
    ept
    -0.71
    enz
    -0.70
    soType
    -0.68
    GW
    -0.65
    quickShipAvailable
    -0.63
    dor
    -0.63
    ynski
    -0.62
     Luk
    -0.61
    pat
    -0.61
     Breach
    -0.61
    POSITIVE LOGITS
     pleasure
    1.16
    joy
    0.95
    ously
    0.85
     pleas
    0.84
    retion
    0.84
     pleasures
    0.83
    sticks
    0.83
     enjoyment
    0.83
    ride
    0.81
     gratification
    0.80
    Activations Density 0.012%

    No Known Activations