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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. 2-RES-JB
    11. 17739
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    Explanations

    words related to coffee and related items or concepts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of coffee and jewelry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     provocation
    -0.79
     fracturing
    -0.71
     Wolves
    -0.67
     masturbation
    -0.65
     Maid
    -0.64
    jury
    -0.64
     Definition
    -0.63
     Capitals
    -0.62
     sled
    -0.62
     Madness
    -0.61
    POSITIVE LOGITS
    ese
    1.08
    ers
    1.05
    rael
    1.03
    ingly
    1.03
    arro
    1.00
    ees
    0.96
    ellery
    0.95
    eling
    0.94
    igel
    0.94
    icult
    0.94
    Activations Density 0.014%

    No Known Activations