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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. 7-RES-JB
    11. 6456
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    Explanations

    the word "ors" with varying levels of activation, potentially indicating a specific pattern or sequence

    oai_token-act-pair · gpt-3.5-turbo

    terms related to people and entities involved in various activities or roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ctors
    -0.70
    mons
    -0.70
    OTAL
    -0.65
    lished
    -0.64
    DAY
    -0.64
    ERSON
    -0.64
    letes
    -0.63
    SIM
    -0.62
    iversary
    -0.61
    lyak
    -0.60
    POSITIVE LOGITS
    hips
    1.39
    hift
    1.12
    poons
    1.04
    pring
    0.97
    pace
    0.94
    poon
    0.93
    hip
    0.91
    mith
    0.86
    heastern
    0.85
    hower
    0.84
    Activations Density 0.032%

    No Known Activations