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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 1-RES-JB
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    Explanations

    mentions of the position "midfield" in a sports context

    oai_token-act-pair · gpt-3.5-turbo

    mentions of positions or roles in sports, particularly relating to midfield and field players

    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
    Lear
    -0.83
    externalActionCode
    -0.77
    displayText
    -0.73
    chn
    -0.69
    PROV
    -0.68
    Downloadha
    -0.65
    UU
    -0.64
    ocard
    -0.64
     Thro
    -0.64
    bart
    -0.63
    POSITIVE LOGITS
     midfield
    1.10
    wich
    0.84
    enburg
    0.81
     midfielder
    0.77
    sburg
    0.77
    roid
    0.76
    ritch
    0.76
    ers
    0.76
    ogether
    0.75
    ilion
    0.74
    Activations Density 0.009%

    No Known Activations