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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. 10-RES-JB
    11. 785
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    Explanations

    words related to locations or proper nouns, specifically those containing the string "arg"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "arg" followed by a numerical value, indicating arguments or counts related to a discussion or claim

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FORMATION
    -0.74
    DER
    -0.65
     spaced
    -0.63
    lihood
    -0.62
    Charges
    -0.60
     veil
    -0.60
     offenses
    -0.59
    PER
    -0.59
    VID
    -0.58
    ned
    -0.58
    POSITIVE LOGITS
    uably
    1.26
    uments
    1.11
    roup
    1.04
    emouth
    1.01
    ansas
    0.99
    raph
    0.98
    oyle
    0.96
    naire
    0.95
    entin
    0.95
    irl
    0.94
    Activations Density 0.017%

    No Known Activations