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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
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    Explanations

    terms related to isotopes, particularly with emphasis on isotopes of different elements and their properties

    oai_token-act-pair · gpt-3.5-turbo

    terms related to isotopes and radioactive elements

    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
    HCR
    -0.86
    phot
    -0.74
    pdf
    -0.73
     Appl
    -0.71
    anova
    -0.71
    DOC
    -0.68
    Dub
    -0.68
    ITED
    -0.68
    icago
    -0.68
    PDF
    -0.68
    POSITIVE LOGITS
     isot
    1.14
     decay
    0.90
     gau
    0.82
     weights
    0.81
    yton
    0.80
     ore
    0.76
    ĵ
    0.75
    opes
    0.75
    uers
    0.73
    pool
    0.73
    Activations Density 0.016%

    No Known Activations