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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. 11-RES-JB
    11. 2450
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    Explanations

    phrases related to generation of various forms of resources or revenue

    oai_token-act-pair · gpt-3.5-turbo

    terms related to generating income or production

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    elvet
    -0.76
    yer
    -0.75
    anya
    -0.71
    >[
    -0.67
    hai
    -0.66
    define
    -0.65
    untu
    -0.65
    ¨
    -0.63
    gerald
    -0.63
    hid
    -0.62
    POSITIVE LOGITS
     revenue
    1.00
     electricity
    0.91
     income
    0.91
     Revenue
    0.88
     revenues
    0.88
     generate
    0.81
     excitement
    0.80
     generates
    0.79
     headlines
    0.79
     buzz
    0.78
    Activations Density 0.050%

    No Known Activations