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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. 12218
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    Explanations

    specific references to written or published information

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "material" in various contexts

    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
    ort
    -0.69
    ARP
    -0.67
     Parables
    -0.66
     Pis
    -0.65
     Barth
    -0.63
     Hatch
    -0.62
    ño
    -0.62
    alty
    -0.61
     Buchanan
    -0.60
    ULTS
    -0.60
    POSITIVE LOGITS
    istic
    0.89
    ity
    0.84
    utonium
    0.83
    ized
    0.83
    izes
    0.81
     Material
    0.80
    istically
    0.79
     material
    0.78
    izing
    0.76
    edly
    0.76
    Activations Density 0.016%

    No Known Activations