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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. 3-RES-JB
    11. 18601
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    Explanations

    mentions of animals, particularly pets

    oai_token-act-pair · gpt-3.5-turbo

    references to pets

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    éĹĺ
    -0.96
    xual
    -0.88
    IDER
    -0.78
    UME
    -0.74
    kefeller
    -0.72
    hower
    -0.71
     Methodist
    -0.70
    ider
    -0.70
    urrection
    -0.69
     doub
    -0.68
    POSITIVE LOGITS
    ertodd
    1.07
    pet
    1.06
    abyte
    1.02
     pee
    0.91
    abytes
    0.89
    rified
    0.82
    roleum
    0.80
    ri
    0.80
     pet
    0.80
    lyak
    0.79
    Activations Density 0.012%

    No Known Activations