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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. 22685
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    words related to forms of matter and substances

    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
    hound
    -0.74
    irlf
    -0.72
     GOODMAN
    -0.67
     seasoning
    -0.65
    ikarp
    -0.65
    iour
    -0.64
    sticks
    -0.63
    pret
    -0.62
    £ı
    -0.61
     representation
    -0.61
    POSITIVE LOGITS
    avage
    0.85
    sts
    0.83
    reed
    0.81
    =]
    0.80
    stal
    0.77
    Quote
    0.71
    arget
    0.71
    zyk
    0.71
    ################
    0.70
    Mobil
    0.69
    Activations Density 0.018%

    No Known Activations