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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. 7-RES-JB
    11. 2810
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    INDEX
    Explanations

    words related to specific chemical elements, primarily sodium, potassium, calcium, and magnesium

    oai_token-act-pair · gpt-3.5-turbo

    chemical elements and compounds, particularly those related to sodium and calcium

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fare
    -0.99
    rers
    -0.89
    arette
    -0.80
    psc
    -0.80
    gers
    -0.79
    eport
    -0.78
    rer
    -0.77
    arde
    -0.77
     CLSID
    -0.76
    ovie
    -0.75
    POSITIVE LOGITS
     iod
    1.24
     chloride
    1.19
     fluoride
    1.12
     phosphate
    1.09
     sulf
    0.99
     sulph
    0.96
     ion
    0.94
     oxide
    0.92
     potassium
    0.92
     ions
    0.92
    Activations Density 0.039%

    No Known Activations