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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. 7-RES-JB
    6. 16905
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    Explanations

    proper names

    oai_token-act-pair · gpt-3.5-turbo

    names and references associated with individuals, particularly those related to sports and entertainment

    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
    groups
    -0.75
    hov
    -0.72
    PASS
    -0.68
    writers
    -0.65
    xus
    -0.64
    ebted
    -0.63
    duino
    -0.62
    cffffcc
    -0.61
    exempt
    -0.60
     spect
    -0.60
    POSITIVE LOGITS
    ruary
    0.99
    hower
    0.75
     Akin
    0.71
    illet
    0.68
    uca
    0.66
    rique
    0.66
    avier
    0.65
    glas
    0.64
    abase
    0.63
    acci
    0.62
    Activations Density 0.218%

    No Known Activations