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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. 9-RES-JB
    11. 23303
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    INDEX
    Explanations

    mentions of waste items like trash or garbage

    oai_token-act-pair · gpt-3.5-turbo

    references to waste and refuse

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    akening
    -0.81
    inel
    -0.66
    ulner
    -0.65
    mberg
    -0.64
    RL
    -0.64
    ebus
    -0.63
    Untitled
    -0.63
    iator
    -0.63
    ocal
    -0.63
    soType
    -0.63
    POSITIVE LOGITS
     cans
    1.20
     heap
    1.09
    bags
    1.08
     bins
    1.05
     disposal
    1.04
     bags
    1.03
    bag
    1.02
     dumps
    0.99
     pile
    0.95
     piles
    0.93
    Activations Density 0.056%

    No Known Activations