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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. 0-RES-JB
    11. 13581
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    Explanations

    words related to emerging situations or crises

    oai_token-act-pair · gpt-3.5-turbo

    terms related to emergencies or crises

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     knowing
    -0.70
     guilt
    -0.69
     Nasa
    -0.67
     bound
    -0.65
     rows
    -0.64
     Schedule
    -0.64
     frame
    -0.64
     layout
    -0.64
     Layout
    -0.63
     YPG
    -0.63
    POSITIVE LOGITS
    emer
    4.41
    Emer
    1.82
     Emer
    1.28
    emonic
    1.13
    ERG
    1.12
     emer
    1.11
    altern
    1.05
    em
    1.02
    erg
    0.97
    ems
    0.97
    Activations Density 0.014%

    No Known Activations