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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. 24060
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    Explanations

    movie titles

    oai_token-act-pair · gpt-3.5-turbo

    entities related to entertainment and media, such as films, shows, songs, games, and events

    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
    stasy
    -0.69
    ilaterally
    -0.68
    20439
    -0.67
    externalActionCode
    -0.67
    Enlarge
    -0.64
    âĢ¢âĢ¢
    -0.63
    ãģĨ
    -0.61
     â̦"
    -0.60
    ceive
    -0.59
    Semitism
    -0.58
    POSITIVE LOGITS
     consists
    0.93
     consisted
    0.92
     also
    0.88
     revolves
    0.87
     culmin
    0.81
     comprises
    0.81
     itself
    0.79
     however
    0.76
     reportedly
    0.75
     includes
    0.75
    Activations Density 0.442%

    No Known Activations