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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. 10-RES-JB
    11. 680
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    INDEX
    Explanations

    words related to chemical elements, particularly those with 'ium' in their names

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of metals and batteries, particularly lithium and its compounds

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kard
    -0.79
    fare
    -0.78
    zee
    -0.78
     guiActiveUnfocused
    -0.74
     [|
    -0.73
     Spiel
    -0.73
    orial
    -0.73
    cffffcc
    -0.72
    stretched
    -0.72
    terson
    -0.70
    POSITIVE LOGITS
     oxide
    1.64
     chloride
    1.50
     dioxide
    1.40
     sulf
    1.29
     iod
    1.27
     ions
    1.27
     salts
    1.26
     atoms
    1.24
     nit
    1.20
     sulph
    1.19
    Activations Density 0.073%

    No Known Activations