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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. 22382
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    Explanations

    keywords related to discarding or getting rid of something

    oai_token-act-pair · gpt-3.5-turbo

    terms related to discarding or removing items

    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
    eworld
    -0.95
    ebus
    -0.93
    ffield
    -0.86
    acca
    -0.86
    annis
    -0.73
    slaught
    -0.71
    king
    -0.71
    heric
    -0.68
    incoln
    -0.67
    omnia
    -0.66
    POSITIVE LOGITS
     discard
    0.91
     discarded
    0.90
     Wast
    0.90
     piles
    0.81
    ãĤ©
    0.81
     Waste
    0.78
    ãģį
    0.77
     wastes
    0.76
    çĭ
    0.75
    bage
    0.73
    Activations Density 0.022%

    No Known Activations