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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. 1-RES-JB
    11. 18018
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    Explanations

    phrases related to work crews and their actions

    oai_token-act-pair · gpt-3.5-turbo

    references to teams or groups involved in physical work or operations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ebook
    -0.73
    0200
    -0.70
    Viol
    -0.68
    0001
    -0.66
    pres
    -0.66
    gio
    -0.65
    leaf
    -0.64
    0000
    -0.63
    uate
    -0.63
    ENC
    -0.63
    POSITIVE LOGITS
     crews
    1.37
     crew
    0.96
     redes
    0.94
    chwitz
    0.88
    Crew
    0.88
     Crew
    0.83
    uggest
    0.83
    dayName
    0.81
     destro
    0.80
    crew
    0.79
    Activations Density 0.004%

    No Known Activations