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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. 2040
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    INDEX
    Explanations

    words related to action or events in a dynamic context

    oai_token-act-pair · gpt-3.5-turbo

    references to action in films or media

    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
    gling
    -0.76
    nda
    -0.70
    soever
    -0.68
    YL
    -0.68
    ©¶æ
    -0.67
    ħ
    -0.67
    reshold
    -0.67
    thening
    -0.66
    uran
    -0.66
    mbuds
    -0.65
    POSITIVE LOGITS
    ios
    0.75
    acebook
    0.74
    ="/
    0.74
     action
    0.73
     Replay
    0.72
    ional
    0.72
    tec
    0.71
    encia
    0.71
    bender
    0.69
    ioch
    0.69
    Activations Density 0.018%

    No Known Activations