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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. 4086
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    Explanations

    words related to preferences or positive emotions towards something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "liked" or its variants, indicating expressions of approval or preference

    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
    arta
    -0.96
    Dispatch
    -0.79
    inas
    -0.77
    apers
    -0.74
    chin
    -0.70
    esi
    -0.70
    nex
    -0.68
    vernment
    -0.68
    src
    -0.66
    impl
    -0.66
    POSITIVE LOGITS
    lihood
    1.50
    76561
    0.94
    lier
    0.87
    ably
    0.80
    joy
    0.77
    liest
    0.76
     Muss
    0.72
    ancies
    0.70
     Likes
    0.70
     liking
    0.70
    Activations Density 0.029%

    No Known Activations