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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. 9268
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    Explanations

    terms related to high costs or expenses

    oai_token-act-pair · gpt-3.5-turbo

    references to high expenses or costs

    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
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    Negative Logits
    ership
    -0.84
    ipt
    -0.74
    vision
    -0.72
    izen
    -0.72
    swick
    -0.69
    isse
    -0.69
    ariat
    -0.68
    peak
    -0.66
    itions
    -0.66
    arity
    -0.65
    POSITIVE LOGITS
     costly
    1.05
     wasteful
    0.88
     incurred
    0.85
    ãĥ¥
    0.84
     cumbers
    0.82
     burdens
    0.81
    ModLoader
    0.80
     destro
    0.77
     unnecess
    0.77
     aggrav
    0.74
    Activations Density 0.014%

    No Known Activations