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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 10894
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    Explanations

    proper nouns related to news or media headlines

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "NEW" indicating a possible focus on new information or updates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stood
    -0.82
    ppe
    -0.81
    76561
    -0.68
    cephal
    -0.65
    mop
    -0.64
    agn
    -0.63
    uca
    -0.63
    minecraft
    -0.63
     McGee
    -0.62
    osate
    -0.62
    POSITIVE LOGITS
     YORK
    1.39
    foundland
    1.13
    PORT
    1.10
    ARK
    0.96
    CAST
    0.93
     Orleans
    0.89
    ITY
    0.88
    bie
    0.88
    TON
    0.86
    MAN
    0.84
    Activations Density 0.008%

    No Known Activations