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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. 1051
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    Explanations

    names and surnames

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals, particularly specific names

    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
    mine
    -0.65
    arcity
    -0.64
     foil
    -0.63
     Thumbnails
    -0.62
    meet
    -0.61
    spread
    -0.59
    ifted
    -0.59
     perpetual
    -0.58
    enemy
    -0.58
     Skydragon
    -0.58
    POSITIVE LOGITS
    hler
    0.80
    patrick
    0.78
    ysis
    0.77
    acht
    0.76
    stein
    0.73
    zin
    0.73
    Äĩ
    0.72
    elly
    0.71
    jee
    0.71
    gee
    0.71
    Activations Density 0.026%

    No Known Activations