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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. 4-RES-JB
    11. 19734
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    Explanations

    proper nouns and numerical values indicating accomplishment or arrival at a destination

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "landed" and its variations

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

    No Comments

    Negative Logits
    vernment
    -0.77
    externalActionCode
    -0.67
    iece
    -0.67
     restraint
    -0.66
    inki
    -0.66
    cale
    -0.66
    ework
    -0.65
    Downloadha
    -0.65
    ught
    -0.64
    ciplinary
    -0.62
    POSITIVE LOGITS
    mass
    0.81
    locked
    0.76
    lehem
    0.76
    terson
    0.71
    ãĤ¤ãĥĪ
    0.68
    prises
    0.67
    bags
    0.67
    owner
    0.66
    Spot
    0.66
    estine
    0.65
    Activations Density 0.015%

    No Known Activations