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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. 20188
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    Explanations

    mentions of the sports team 'Jets'

    oai_token-act-pair · gpt-3.5-turbo

    references to the Jets football team

    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
    istically
    -0.73
    istic
    -0.70
    acerb
    -0.70
    ists
    -0.68
    Trigger
    -0.68
    istics
    -0.66
     fide
    -0.66
    ances
    -0.65
    ItemImage
    -0.64
    forest
    -0.63
    POSITIVE LOGITS
     Jets
    1.01
    rod
    0.77
    pps
    0.76
    abba
    0.74
    peak
    0.74
    kson
    0.73
    onian
    0.72
    ouls
    0.72
    daq
    0.71
    awar
    0.70
    Activations Density 0.008%

    No Known Activations