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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. 12394
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    Explanations

    phrases related to lithium-ion batteries

    oai_token-act-pair · gpt-3.5-turbo

    mentions of lithium and its applications or characteristics

    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
    orial
    -0.81
    fare
    -0.79
    ribute
    -0.79
     CLSID
    -0.77
     Unsure
    -0.72
    nels
    -0.71
    Relations
    -0.69
    */(
    -0.67
    eln
    -0.66
     Freak
    -0.66
    POSITIVE LOGITS
     batteries
    1.09
     lithium
    1.03
     chloride
    0.92
     electroly
    0.90
     recharge
    0.89
     polymer
    0.86
     ions
    0.86
     oxide
    0.85
     battery
    0.84
     magnets
    0.81
    Activations Density 0.008%

    No Known Activations