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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. 6-RES-JB
    11. 15516
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    Explanations

    words related to metals and chemical compounds

    oai_token-act-pair · gpt-3.5-turbo

    specific chemical elements and materials, particularly in the context of manufacturing or environmental discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pradesh
    -0.77
    SPONSORED
    -0.64
    bably
    -0.63
     Kag
    -0.62
    izarre
    -0.59
    liament
    -0.58
    igious
    -0.58
    schild
    -0.58
     Gandhi
    -0.56
     Lafayette
    -0.56
    POSITIVE LOGITS
    ioxide
    1.04
    agall
    0.88
     Sachs
    0.84
    oxide
    0.82
    worm
    0.72
     synth
    0.70
    antha
    0.68
    tes
    0.65
     oxid
    0.65
     emb
    0.62
    Activations Density 0.537%

    No Known Activations